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| <html>
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| <head>
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| <title>EBMcalc Medical Calculator</title>
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| <meta name="og:title" content="EBMalc Medical calculators, equations, clinical criteria sets, decision trees, and data coverters" />
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| <meta name="description" content="Medical Calculators, Criteria Sets and Decision Trees" />
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| <meta name="keywords" content="covid-19, covid, corona, virus, EBM, EBMcalc, evidence-based medicine, Statistics, Epidemiology, EBM, acpjc, medcalc3000, estimates, embolism, hemorrhage, hepatitis, data, determine, determines, diagnosis, disease, medical, activity, bleeding, blood, bowel, cancer, carcinoma, cardiac, chest, cirrhosis, asthma, education, acute, criteria, arthritis, assess, atrial, alcoholic, treecalc, decision, tree, medicine, clinical, medcalc, 3000, mdcalc, medicalc, medmath, clinicalc, clincalc, online, clinical, survival, rheumatoid, risk, rule, scale, score, sepsis, sodium, staging, stroke, syndrome, therapy, trauma, " />
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| <meta name="author" content="Foundation Internet Services, LLC, DBA EBMcalc, LLC" />
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| </head>
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| <body class="medCalcBody">
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| <div id="mc3k">
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| <table width="100%" border="0" cellpadding="5" cellspacing="0" summary="EBMcalc Table">
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| <tr><td bgcolor="#ffffff" align="left">
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| <img src="/cebmc_tag_logo.png" border="0" alt="EBMcalc Logo" />
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| </td></tr>
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| <tr bgcolor="#1e4149"><td class="medCalcFontOneBold" nowrap="nowrap">
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| <a href="/index.htm" style="color: white; text-decoration: none;">INTRO</a>
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| <a href="/eq-idx.htm" style="color: white; text-decoration: none;">EQUATIONS</a>
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| <a href="/cc-idx.htm" style="color: white; text-decoration: none;">CRITERIA</a>
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| <a href="/tree-idx.htm" style="color: white; text-decoration: none;">DECISION</a>
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| <a href="/qc-idx.htm" style="color: white; text-decoration: none;">CONVERT</a>
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| </td></tr></table>
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| <br />
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| <script language="JavaScript1.1" type="text/javascript">
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| /* <![CDATA[ */
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| function log(i){
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| return Math.log(i) * Math.LOG10E;
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| function eTo(x){
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| return Math.exp(x);
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| }
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| function fixDP(r, dps) {
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| if (isNaN(r)) return "NaN";
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| var msign = '';
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| x = Math.abs(r);
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| var m = Math.round(x * Math.pow(10, dps)).toString();
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| function TwoDecimalPoints(x){
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| return fixDP(x,2);
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| }
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|
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| function alertNaN(thisparam){
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| alert(thisparam + ' is improperly formatted. You may only input the digits 0-9 and a decimal point.');
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| doCalc = false;
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| clrResults();
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| }
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| function clrValue(field) {
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| thischeckbox = document.getElementById(thisid);
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| if (thischeckbox.checked){ thischeckbox.checked = false; }
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| else { thischeckbox.checked = true; }
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| BayesianAnalysis_1_fx();
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| }
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| function setRB(thisid){
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| document.getElementById(thisid).checked = true;
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| BayesianAnalysis_1_fx();
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| var queryStringErrorTxt = '';
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| function BayesianAnalysis_1_fx() {
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| with(document.BayesianAnalysis_1_form){
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|
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| doCalc = true;
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| htmtxt = queryStringErrorHTM + '<span class="medCalcFontDT">Decision Calculator: Bayesian Statistics I MultiCalc<\/span><br /> <br />\n';
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| param_value = parseFloat(Prevalence_param.value);
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| if (isNaN(param_value)){param_value = ""; doCalc = false;}
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| unit_parts = Prevalence_unit.options[Prevalence_unit.selectedIndex].value.split('|');
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| Prevalence = param_value * parseFloat(unit_parts[0]) + parseFloat(unit_parts[1]);
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| htmtxt = htmtxt + '\n<br /> * Prevalence = ' + param_value + ' ' + Prevalence_unit.options[Prevalence_unit.selectedIndex].text;
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| param_value = parseFloat(Sensitivity_param.value);
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| if (isNaN(param_value)){param_value = ""; doCalc = false;}
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| unit_parts = Sensitivity_unit.options[Sensitivity_unit.selectedIndex].value.split('|');
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| Sensitivity = param_value * parseFloat(unit_parts[0]) + parseFloat(unit_parts[1]);
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| htmtxt = htmtxt + '\n<br /> * Sensitivity = ' + param_value + ' ' + Sensitivity_unit.options[Sensitivity_unit.selectedIndex].text;
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| param_value = parseFloat(Specificity_param.value);
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| if (isNaN(param_value)){param_value = ""; doCalc = false;}
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| unit_parts = Specificity_unit.options[Specificity_unit.selectedIndex].value.split('|');
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| Specificity = param_value * parseFloat(unit_parts[0]) + parseFloat(unit_parts[1]);
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| htmtxt = htmtxt + '\n<br /> * Specificity = ' + param_value + ' ' + Specificity_unit.options[Specificity_unit.selectedIndex].text;
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| htmtxt = htmtxt + '<br /> <br />\n';
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| dp = decpts.options[decpts.selectedIndex].text;
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| True_Pos = Sensitivity * Prevalence;
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|
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| unit_parts = True_Pos_unit.options[True_Pos_unit.selectedIndex].value.split('|');
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| if (doCalc) True_Pos_param.value = fixDP((True_Pos - parseFloat(unit_parts[1])) / parseFloat(unit_parts[0]), dp);
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|
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|
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| htmtxt = htmtxt + '\n<br /> <br /><b>Result:<\/b> True Pos = ' + True_Pos_param.value + ' ' + True_Pos_unit.options[True_Pos_unit.selectedIndex].text;
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| False_Pos = (1 - Specificity) * (1 - Prevalence);
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|
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| unit_parts = False_Pos_unit.options[False_Pos_unit.selectedIndex].value.split('|');
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| if (doCalc) False_Pos_param.value = fixDP((False_Pos - parseFloat(unit_parts[1])) / parseFloat(unit_parts[0]), dp);
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|
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|
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| htmtxt = htmtxt + '\n<br /> <br /><b>Result:<\/b> False Pos = ' + False_Pos_param.value + ' ' + False_Pos_unit.options[False_Pos_unit.selectedIndex].text;
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| True_Neg = Specificity * (1 - Prevalence);
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|
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| unit_parts = True_Neg_unit.options[True_Neg_unit.selectedIndex].value.split('|');
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| if (doCalc) True_Neg_param.value = fixDP((True_Neg - parseFloat(unit_parts[1])) / parseFloat(unit_parts[0]), dp);
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|
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|
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| htmtxt = htmtxt + '\n<br /> <br /><b>Result:<\/b> True Neg = ' + True_Neg_param.value + ' ' + True_Neg_unit.options[True_Neg_unit.selectedIndex].text;
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| False_Neg = (1 - Sensitivity) * Prevalence;
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|
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| unit_parts = False_Neg_unit.options[False_Neg_unit.selectedIndex].value.split('|');
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| if (doCalc) False_Neg_param.value = fixDP((False_Neg - parseFloat(unit_parts[1])) / parseFloat(unit_parts[0]), dp);
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|
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|
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|
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| htmtxt = htmtxt + '\n<br /> <br /><b>Result:<\/b> False Neg = ' + False_Neg_param.value + ' ' + False_Neg_unit.options[False_Neg_unit.selectedIndex].text;
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| Pos_Pred_Value = 100 * True_Pos / (True_Pos + False_Pos);
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|
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| unit_parts = Pos_Pred_Value_unit.options[Pos_Pred_Value_unit.selectedIndex].value.split('|');
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| if (doCalc) Pos_Pred_Value_param.value = fixDP((Pos_Pred_Value - parseFloat(unit_parts[1])) / parseFloat(unit_parts[0]), dp);
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|
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|
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|
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| htmtxt = htmtxt + '\n<br /> <br /><b>Result:<\/b> Pos Pred Value = ' + Pos_Pred_Value_param.value + ' ' + Pos_Pred_Value_unit.options[Pos_Pred_Value_unit.selectedIndex].text;
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| Neg_Pred_Value = 100 * True_Neg / (True_Neg + False_Neg);
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|
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| unit_parts = Neg_Pred_Value_unit.options[Neg_Pred_Value_unit.selectedIndex].value.split('|');
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| if (doCalc) Neg_Pred_Value_param.value = fixDP((Neg_Pred_Value - parseFloat(unit_parts[1])) / parseFloat(unit_parts[0]), dp);
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|
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|
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|
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| htmtxt = htmtxt + '\n<br /> <br /><b>Result:<\/b> Neg Pred Value = ' + Neg_Pred_Value_param.value + ' ' + Neg_Pred_Value_unit.options[Neg_Pred_Value_unit.selectedIndex].text;
| |
| LR_Pos = Sensitivity / (1-Specificity);
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|
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| unit_parts = LR_Pos_unit.options[LR_Pos_unit.selectedIndex].value.split('|');
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| if (doCalc) LR_Pos_param.value = fixDP((LR_Pos - parseFloat(unit_parts[1])) / parseFloat(unit_parts[0]), dp);
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|
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|
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|
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| htmtxt = htmtxt + '\n<br /> <br /><b>Result:<\/b> LR Pos = ' + LR_Pos_param.value + ' ' + LR_Pos_unit.options[LR_Pos_unit.selectedIndex].text;
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| LR_Neg = (1-Sensitivity) / Specificity;
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|
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| unit_parts = LR_Neg_unit.options[LR_Neg_unit.selectedIndex].value.split('|');
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| if (doCalc) LR_Neg_param.value = fixDP((LR_Neg - parseFloat(unit_parts[1])) / parseFloat(unit_parts[0]), dp);
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|
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|
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|
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| htmtxt = htmtxt + '\n<br /> <br /><b>Result:<\/b> LR Neg = ' + LR_Neg_param.value + ' ' + LR_Neg_unit.options[LR_Neg_unit.selectedIndex].text;
| |
| Pre_Test_Odds = Prevalence / (1 - Prevalence);
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|
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| unit_parts = Pre_Test_Odds_unit.options[Pre_Test_Odds_unit.selectedIndex].value.split('|');
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| if (doCalc) Pre_Test_Odds_param.value = fixDP((Pre_Test_Odds - parseFloat(unit_parts[1])) / parseFloat(unit_parts[0]), dp);
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|
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|
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|
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| htmtxt = htmtxt + '\n<br /> <br /><b>Result:<\/b> Pre Test Odds = ' + Pre_Test_Odds_param.value + ' ' + Pre_Test_Odds_unit.options[Pre_Test_Odds_unit.selectedIndex].text;
| |
| Post_Odds_Pos = Pre_Test_Odds * LR_Pos;
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|
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| unit_parts = Post_Odds_Pos_unit.options[Post_Odds_Pos_unit.selectedIndex].value.split('|');
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| if (doCalc) Post_Odds_Pos_param.value = fixDP((Post_Odds_Pos - parseFloat(unit_parts[1])) / parseFloat(unit_parts[0]), dp);
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|
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|
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|
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| htmtxt = htmtxt + '\n<br /> <br /><b>Result:<\/b> Post Odds Pos = ' + Post_Odds_Pos_param.value + ' ' + Post_Odds_Pos_unit.options[Post_Odds_Pos_unit.selectedIndex].text;
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| Post_Prob_Pos = Post_Odds_Pos / (1 + Post_Odds_Pos);
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|
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| unit_parts = Post_Prob_Pos_unit.options[Post_Prob_Pos_unit.selectedIndex].value.split('|');
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| if (doCalc) Post_Prob_Pos_param.value = fixDP((Post_Prob_Pos - parseFloat(unit_parts[1])) / parseFloat(unit_parts[0]), dp);
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|
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|
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|
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| htmtxt = htmtxt + '\n<br /> <br /><b>Result:<\/b> Post Prob Pos = ' + Post_Prob_Pos_param.value + ' ' + Post_Prob_Pos_unit.options[Post_Prob_Pos_unit.selectedIndex].text;
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| Post_Odds_Neg = Pre_Test_Odds * LR_Neg;
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|
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| unit_parts = Post_Odds_Neg_unit.options[Post_Odds_Neg_unit.selectedIndex].value.split('|');
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| if (doCalc) Post_Odds_Neg_param.value = fixDP((Post_Odds_Neg - parseFloat(unit_parts[1])) / parseFloat(unit_parts[0]), dp);
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|
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|
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|
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| htmtxt = htmtxt + '\n<br /> <br /><b>Result:<\/b> Post Odds Neg = ' + Post_Odds_Neg_param.value + ' ' + Post_Odds_Neg_unit.options[Post_Odds_Neg_unit.selectedIndex].text;
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| Post_Prob_Neg = Post_Odds_Neg / (1 + Post_Odds_Neg);
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|
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| unit_parts = Post_Prob_Neg_unit.options[Post_Prob_Neg_unit.selectedIndex].value.split('|');
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| if (doCalc) Post_Prob_Neg_param.value = fixDP((Post_Prob_Neg - parseFloat(unit_parts[1])) / parseFloat(unit_parts[0]), dp);
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|
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|
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|
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| htmtxt = htmtxt + '\n<br /> <br /><b>Result:<\/b> Post Prob Neg = ' + Post_Prob_Neg_param.value + ' ' + Post_Prob_Neg_unit.options[Post_Prob_Neg_unit.selectedIndex].text;
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| False_Pos_Rate = 100 * False_Pos / (False_Pos + True_Neg);
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|
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| unit_parts = False_Pos_Rate_unit.options[False_Pos_Rate_unit.selectedIndex].value.split('|');
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| if (doCalc) False_Pos_Rate_param.value = fixDP((False_Pos_Rate - parseFloat(unit_parts[1])) / parseFloat(unit_parts[0]), dp);
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|
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|
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|
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| htmtxt = htmtxt + '\n<br /> <br /><b>Result:<\/b> False Pos Rate = ' + False_Pos_Rate_param.value + ' ' + False_Pos_Rate_unit.options[False_Pos_Rate_unit.selectedIndex].text;
| |
| False_Neg_Rate = 100 * False_Neg / (True_Pos + False_Neg);
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|
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| unit_parts = False_Neg_Rate_unit.options[False_Neg_Rate_unit.selectedIndex].value.split('|');
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| if (doCalc) False_Neg_Rate_param.value = fixDP((False_Neg_Rate - parseFloat(unit_parts[1])) / parseFloat(unit_parts[0]), dp);
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|
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|
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|
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| htmtxt = htmtxt + '\n<br /> <br /><b>Result:<\/b> False Neg Rate = ' + False_Neg_Rate_param.value + ' ' + False_Neg_Rate_unit.options[False_Neg_Rate_unit.selectedIndex].text;
| |
| Overall_Acc = 100 * (True_Pos + True_Neg);
| |
|
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| unit_parts = Overall_Acc_unit.options[Overall_Acc_unit.selectedIndex].value.split('|');
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| if (doCalc) Overall_Acc_param.value = fixDP((Overall_Acc - parseFloat(unit_parts[1])) / parseFloat(unit_parts[0]), dp);
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|
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|
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|
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| htmtxt = htmtxt + '\n<br /> <br /><b>Result:<\/b> Overall Acc = ' + Overall_Acc_param.value + ' ' + Overall_Acc_unit.options[Overall_Acc_unit.selectedIndex].text;
| |
| if (document.BayesianAnalysis_1_form.includerefs[0].checked){
| |
| htmtxt += interphtm + '<br /> <br /><span class="medCalcFontRef"><b>References:<\/b><\/span><ol> <li><span class=\"medCalcFontRef\">Perera R, Heneghan C. Making sense of diagnostic test likelihood ratios. <i>ACP J Club<\/i>. 2007 Mar-Apr;146(2):A8-9. PubMed ID: 17335149 <a target=\"_blank\" href=\"https://www.ncbi.nlm.nih.gov/pubmed/17335149\"><img border=\"0\" src=\"pubmed.gif\" align=\"top\" alt=\"PubMed Logo\" /><\/a> <\/span><\/li><li><span class=\"medCalcFontRef\">Page J, Attia J. Using Bayes\' nomogram to help interpret odds ratios. <i>ACP J Club<\/i>. 2003 Sep-Oct;139(2):A11-2. PubMed ID: 12954046 <a target=\"_blank\" href=\"https://www.ncbi.nlm.nih.gov/pubmed/12954046\"><img border=\"0\" src=\"pubmed.gif\" align=\"top\" alt=\"PubMed Logo\" /><\/a> <\/span><\/li> <\/ol>';
| |
| }
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| else{
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| htmtxt += interphtm;
| |
| }
| |
| htmtxt = htmtxt + '<br /> <br /><b>Equations Used:<\/b><br /> <br /><table cellspacing="0" cellpadding="10" summary="EBMcalc Table"><tr><td class="medCalcFormuliBox"><span class="medCalcFontFormuli">TruePos = Sensitivity * Prevalence<\/span><\/td><\/tr><tr><td class="medCalcFormuliBox"><span class="medCalcFontFormuli">FalsePos = (1 - Specificity) * (1 - Prevalence)<\/span><\/td><\/tr><tr><td class="medCalcFormuliBox"><span class="medCalcFontFormuli">TrueNeg = Specificity * (1 - Prevalence)<\/span><\/td><\/tr><tr><td class="medCalcFormuliBox"><span class="medCalcFontFormuli">FalseNeg = (1 - Sensitivity) * Prevalence<\/span><\/td><\/tr><tr><td class="medCalcFormuliBox"><span class="medCalcFontFormuli">PosPredValue = 100 * TruePos / (TruePos + FalsePos)<\/span><\/td><\/tr><tr><td class="medCalcFormuliBox"><span class="medCalcFontFormuli">NegPredValue = 100 * TrueNeg / (TrueNeg + FalseNeg)<\/span><\/td><\/tr><tr><td class="medCalcFormuliBox"><span class="medCalcFontFormuli">LRPos = Sensitivity / (1-Specificity)<\/span><\/td><\/tr><tr><td class="medCalcFormuliBox"><span class="medCalcFontFormuli">LRNeg = (1-Sensitivity) / Specificity<\/span><\/td><\/tr><tr><td class="medCalcFormuliBox"><span class="medCalcFontFormuli">PreTestOdds = Prevalence / (1 - Prevalence)<\/span><\/td><\/tr><tr><td class="medCalcFormuliBox"><span class="medCalcFontFormuli">PostOddsPos = PreTestOdds * LRPos<\/span><\/td><\/tr><tr><td class="medCalcFormuliBox"><span class="medCalcFontFormuli">PostProbPos = PostOddsPos / (1 + PostOddsPos)<\/span><\/td><\/tr><tr><td class="medCalcFormuliBox"><span class="medCalcFontFormuli">PostOddsNeg = PreTestOdds * LRNeg<\/span><\/td><\/tr><tr><td class="medCalcFormuliBox"><span class="medCalcFontFormuli">PostProbNeg = PostOddsNeg / (1 + PostOddsNeg)<\/span><\/td><\/tr><tr><td class="medCalcFormuliBox"><span class="medCalcFontFormuli">FalsePosRate = 100 * FalsePos / (FalsePos + TrueNeg)<\/span><\/td><\/tr><tr><td class="medCalcFormuliBox"><span class="medCalcFontFormuli">FalseNegRate = 100 * FalseNeg / (TruePos + FalseNeg)<\/span><\/td><\/tr><tr><td class="medCalcFormuliBox"><span class="medCalcFontFormuli">OverallAcc = 100 * (TruePos + TrueNeg)<\/span><\/td><\/tr><\/table><br /> <br />';
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|
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| }
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|
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| }
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|
| |
| function minMaxCheck(){
| |
| if (printing) return;
| |
|
| |
|
| |
|
| |
| with(document.BayesianAnalysis_1_form){
| |
|
| |
| if (Prevalence_param.value && isNaN(Prevalence_param.value)){ clrValue(Prevalence_param); alertNaN('Prevalence'); }
| |
| if (Prevalence_param.value && (Prevalence < (0 - 0.00001))) {
| |
| Prevalence = 0;
| |
| clrValue(Prevalence_param);
| |
| clrResults();
| |
| doCalc = false;
| |
| alert("The minimum value for Prevalence is 0 fraction.\nIf you are specifying a value with a different unit, change the unit selector first.");
| |
| }
| |
| if (Prevalence_param.value && Prevalence > 1) {
| |
| clrValue(Prevalence_param);
| |
| clrResults();
| |
| Prevalence = 0;
| |
| doCalc = false;
| |
| alert("The maximum value for Prevalence is 1 fraction.\nIf you are specifying a value with a different unit, change the unit selector first.");
| |
| }
| |
| if (Sensitivity_param.value && isNaN(Sensitivity_param.value)){ clrValue(Sensitivity_param); alertNaN('Sensitivity'); }
| |
| if (Sensitivity_param.value && (Sensitivity < (0 - 0.00001))) {
| |
| Sensitivity = 0;
| |
| clrValue(Sensitivity_param);
| |
| clrResults();
| |
| doCalc = false;
| |
| alert("The minimum value for Sensitivity is 0 fraction.\nIf you are specifying a value with a different unit, change the unit selector first.");
| |
| }
| |
| if (Sensitivity_param.value && Sensitivity > 1) {
| |
| clrValue(Sensitivity_param);
| |
| clrResults();
| |
| Sensitivity = 0;
| |
| doCalc = false;
| |
| alert("The maximum value for Sensitivity is 1 fraction.\nIf you are specifying a value with a different unit, change the unit selector first.");
| |
| }
| |
| if (Specificity_param.value && isNaN(Specificity_param.value)){ clrValue(Specificity_param); alertNaN('Specificity'); }
| |
| if (Specificity_param.value && (Specificity < (0 - 0.00001))) {
| |
| Specificity = 0;
| |
| clrValue(Specificity_param);
| |
| clrResults();
| |
| doCalc = false;
| |
| alert("The minimum value for Specificity is 0 fraction.\nIf you are specifying a value with a different unit, change the unit selector first.");
| |
| }
| |
| if (Specificity_param.value && Specificity > 1) {
| |
| clrValue(Specificity_param);
| |
| clrResults();
| |
| Specificity = 0;
| |
| doCalc = false;
| |
| alert("The maximum value for Specificity is 1 fraction.\nIf you are specifying a value with a different unit, change the unit selector first.");
| |
| }
| |
|
| |
|
| |
| }
| |
|
| |
| }
| |
|
| |
|
| |
|
| |
| function stripNbsp(spctxt){
| |
| while (spctxt.charCodeAt(0) > 127){ spctxt = spctxt.substring(1);};
| |
| return spctxt;
| |
| }
| |
|
| |
|
| |
| function clrResults(){
| |
|
| |
|
| |
| with(document.BayesianAnalysis_1_form){
| |
|
| |
| True_Pos_param.value = '';
| |
| False_Pos_param.value = '';
| |
| True_Neg_param.value = '';
| |
| False_Neg_param.value = '';
| |
| Pos_Pred_Value_param.value = '';
| |
| Neg_Pred_Value_param.value = '';
| |
| LR_Pos_param.value = '';
| |
| LR_Neg_param.value = '';
| |
| Pre_Test_Odds_param.value = '';
| |
| Post_Odds_Pos_param.value = '';
| |
| Post_Prob_Pos_param.value = '';
| |
| Post_Odds_Neg_param.value = '';
| |
| Post_Prob_Neg_param.value = '';
| |
| False_Pos_Rate_param.value = '';
| |
| False_Neg_Rate_param.value = '';
| |
| Overall_Acc_param.value = '';
| |
|
| |
|
| |
| }
| |
|
| |
| }
| |
|
| |
| var Prevalence = null,
| |
| Sensitivity = null,
| |
| Specificity = null,
| |
| True_Pos = null,
| |
| False_Pos = null,
| |
| True_Neg = null,
| |
| False_Neg = null,
| |
| Pos_Pred_Value = null,
| |
| Neg_Pred_Value = null,
| |
| LR_Pos = null,
| |
| LR_Neg = null,
| |
| Pre_Test_Odds = null,
| |
| Post_Odds_Pos = null,
| |
| Post_Prob_Pos = null,
| |
| Post_Odds_Neg = null,
| |
| Post_Prob_Neg = null,
| |
| False_Pos_Rate = null,
| |
| False_Neg_Rate = null,
| |
| Overall_Acc = null,
| |
| param_value = null;
| |
|
| |
|
| |
|
| |
|
| |
|
| |
|
| |
|
| |
|
| |
|
| |
| function PrintHtm(){
| |
| printing = true;
| |
| document.getElementById('BayesianAnalysis_1_form').innerHTML = htmtxt;
| |
| print();
| |
| }
| |
|
| |
|
| |
|
| |
|
| |
| function parentSearch(thisterm){
| |
| parent.contents.document.search.searchterm.value = thisterm;
| |
| parent.contents.doSearch();
| |
| }
| |
|
| |
|
| |
| /* ]]> */
| |
| </script>
| |
|
| |
|
| |
|
| |
|
| |
| <form name="BayesianAnalysis_1_form" id="BayesianAnalysis_1_form" action="" onsubmit="return false;" onkeydown="clrResults(); resetInTime();" onkeyup="BayesianAnalysis_1_fx();">
| |
|
| |
| <table width="100%" cellpadding="4" cellspacing="0" summary="EBMcalc Table">
| |
| <tr><td width="2%" class="medCalcTitleBox"> </td>
| |
| <td class="medCalcTitleBox">
| |
| <span class="medCalcFontTitleBox">
| |
|
| |
|
| |
| Bayesian Statistics I MultiCalc
| |
| </span></td></tr></table><br /> <br />
| |
|
| |
| <div id="calc_main">
| |
| <center>
| |
| <span class="medCalcFontIO">
| |
| Input
| |
| </span>
| |
| <br /> <br />
| |
| <table cellpadding="3" cellspacing="0" summary="EBMcalc Table">
| |
| <tr><td align="right" width="42%"><span class="medCalcFontOneBold">Prevalence</span> </td>
| |
| <td align="left" valign="top" nowrap="nowrap" width="5%"> <input type="text" name="Prevalence_param" size="6" value="" onblur="minMaxCheck(); BayesianAnalysis_1_fx();" onchange="BayesianAnalysis_1_fx();" /></td>
| |
| <td align="left" valign="top"> <select name="Prevalence_unit" onchange="BayesianAnalysis_1_fx(); minMaxCheck();" style="width:115px;" class="medCalcFontSelect">
| |
| <option value="0.01|0|%">%</option>
| |
| <option value="1|0|fraction" selected="selected">fraction</option>
| |
| <option value="0.01|0|percent">percent</option>
| |
| <option value="1|0|rate">rate</option>
| |
| <option value="1|0|ratio">ratio</option>
| |
| </select></td></tr>
| |
|
| |
| <tr><td align="right" width="42%"><span class="medCalcFontOneBold">Sensitivity</span> </td>
| |
| <td align="left" valign="top" nowrap="nowrap" width="5%"> <input type="text" name="Sensitivity_param" size="6" value="" onblur="minMaxCheck(); BayesianAnalysis_1_fx();" onchange="BayesianAnalysis_1_fx();" /></td>
| |
| <td align="left" valign="top"> <select name="Sensitivity_unit" onchange="BayesianAnalysis_1_fx(); minMaxCheck();" style="width:115px;" class="medCalcFontSelect">
| |
| <option value="0.01|0|%">%</option>
| |
| <option value="1|0|fraction" selected="selected">fraction</option>
| |
| <option value="0.01|0|percent">percent</option>
| |
| <option value="1|0|rate">rate</option>
| |
| <option value="1|0|ratio">ratio</option>
| |
| </select></td></tr>
| |
|
| |
| <tr><td align="right" width="42%"><span class="medCalcFontOneBold">Specificity</span> </td>
| |
| <td align="left" valign="top" nowrap="nowrap" width="5%"> <input type="text" name="Specificity_param" size="6" value="" onblur="minMaxCheck(); BayesianAnalysis_1_fx();" onchange="BayesianAnalysis_1_fx();" /></td>
| |
| <td align="left" valign="top"> <select name="Specificity_unit" onchange="BayesianAnalysis_1_fx(); minMaxCheck();" style="width:115px;" class="medCalcFontSelect">
| |
| <option value="0.01|0|%">%</option>
| |
| <option value="1|0|fraction" selected="selected">fraction</option>
| |
| <option value="0.01|0|percent">percent</option>
| |
| <option value="1|0|rate">rate</option>
| |
| <option value="1|0|ratio">ratio</option>
| |
| </select></td></tr>
| |
|
| |
|
| |
| </table>
| |
|
| |
| </center>
| |
| <br /> <br /><center><span class="medCalcFontIO">Results</span>
| |
|
| |
| <br /> <br />
| |
| <table summary="EBMcalc Table" class="medCalcResultBox" cellpadding="4">
| |
| <tr><td colspan="3"> <br /></td></tr>
| |
| <tr>
| |
| <td align="right"><span class="medCalcFontResultParam">True Pos</span></td>
| |
| <td valign="top" nowrap="nowrap"> <input type="text" name="True_Pos_param" size="6" onfocus="blur();" /></td>
| |
| <td valign="top" align="left"><span class="medCalcFontResultParam">
| |
| <select name="True_Pos_unit" onchange="BayesianAnalysis_1_fx(); minMaxCheck();" style="width:115px;" class="medCalcFontSelect">
| |
| <option value="0.01|0|%">%</option>
| |
| <option value="1|0|fraction">fraction</option>
| |
| <option value="0.01|0|percent">percent</option>
| |
| <option value="1|0|rate">rate</option>
| |
| <option value="1|0|ratio" selected="selected">ratio</option>
| |
| </select>
| |
| </span></td>
| |
| </tr>
| |
|
| |
| <tr>
| |
| <td align="right"><span class="medCalcFontResultParam">False Pos</span></td>
| |
| <td valign="top" nowrap="nowrap"> <input type="text" name="False_Pos_param" size="6" onfocus="blur();" /></td>
| |
| <td valign="top" align="left"><span class="medCalcFontResultParam">
| |
| <select name="False_Pos_unit" onchange="BayesianAnalysis_1_fx(); minMaxCheck();" style="width:115px;" class="medCalcFontSelect">
| |
| <option value="0.01|0|%">%</option>
| |
| <option value="1|0|fraction">fraction</option>
| |
| <option value="0.01|0|percent">percent</option>
| |
| <option value="1|0|rate">rate</option>
| |
| <option value="1|0|ratio" selected="selected">ratio</option>
| |
| </select>
| |
| </span></td>
| |
| </tr>
| |
|
| |
| <tr>
| |
| <td align="right"><span class="medCalcFontResultParam">True Neg</span></td>
| |
| <td valign="top" nowrap="nowrap"> <input type="text" name="True_Neg_param" size="6" onfocus="blur();" /></td>
| |
| <td valign="top" align="left"><span class="medCalcFontResultParam">
| |
| <select name="True_Neg_unit" onchange="BayesianAnalysis_1_fx(); minMaxCheck();" style="width:115px;" class="medCalcFontSelect">
| |
| <option value="0.01|0|%">%</option>
| |
| <option value="1|0|fraction">fraction</option>
| |
| <option value="0.01|0|percent">percent</option>
| |
| <option value="1|0|rate">rate</option>
| |
| <option value="1|0|ratio" selected="selected">ratio</option>
| |
| </select>
| |
| </span></td>
| |
| </tr>
| |
|
| |
| <tr>
| |
| <td align="right"><span class="medCalcFontResultParam">False Neg</span></td>
| |
| <td valign="top" nowrap="nowrap"> <input type="text" name="False_Neg_param" size="6" onfocus="blur();" /></td>
| |
| <td valign="top" align="left"><span class="medCalcFontResultParam">
| |
| <select name="False_Neg_unit" onchange="BayesianAnalysis_1_fx(); minMaxCheck();" style="width:115px;" class="medCalcFontSelect">
| |
| <option value="0.01|0|%">%</option>
| |
| <option value="1|0|fraction">fraction</option>
| |
| <option value="0.01|0|percent">percent</option>
| |
| <option value="1|0|rate">rate</option>
| |
| <option value="1|0|ratio" selected="selected">ratio</option>
| |
| </select>
| |
| </span></td>
| |
| </tr>
| |
|
| |
| <tr>
| |
| <td align="right"><span class="medCalcFontResultParam">Pos Pred Value</span></td>
| |
| <td valign="top" nowrap="nowrap"> <input type="text" name="Pos_Pred_Value_param" size="6" onfocus="blur();" /></td>
| |
| <td valign="top" align="left"><span class="medCalcFontResultParam">
| |
| <select name="Pos_Pred_Value_unit" onchange="BayesianAnalysis_1_fx(); minMaxCheck();" style="width:115px;" class="medCalcFontSelect">
| |
| <option value="1|0|%" selected="selected">%</option>
| |
| <option value="100|0|fraction">fraction</option>
| |
| <option value="1|0|percent">percent</option>
| |
| <option value="100|0|rate">rate</option>
| |
| <option value="100|0|ratio">ratio</option>
| |
| </select>
| |
| </span></td>
| |
| </tr>
| |
|
| |
| <tr>
| |
| <td align="right"><span class="medCalcFontResultParam">Neg Pred Value</span></td>
| |
| <td valign="top" nowrap="nowrap"> <input type="text" name="Neg_Pred_Value_param" size="6" onfocus="blur();" /></td>
| |
| <td valign="top" align="left"><span class="medCalcFontResultParam">
| |
| <select name="Neg_Pred_Value_unit" onchange="BayesianAnalysis_1_fx(); minMaxCheck();" style="width:115px;" class="medCalcFontSelect">
| |
| <option value="1|0|%" selected="selected">%</option>
| |
| <option value="100|0|fraction">fraction</option>
| |
| <option value="1|0|percent">percent</option>
| |
| <option value="100|0|rate">rate</option>
| |
| <option value="100|0|ratio">ratio</option>
| |
| </select>
| |
| </span></td>
| |
| </tr>
| |
|
| |
| <tr>
| |
| <td align="right"><span class="medCalcFontResultParam">LR Pos</span></td>
| |
| <td valign="top" nowrap="nowrap"> <input type="text" name="LR_Pos_param" size="6" onfocus="blur();" /></td>
| |
| <td valign="top" align="left"><span class="medCalcFontResultParam">
| |
| <select name="LR_Pos_unit" onchange="BayesianAnalysis_1_fx(); minMaxCheck();" style="width:115px;" class="medCalcFontSelect">
| |
| <option value="0.01|0|%">%</option>
| |
| <option value="1|0|fraction">fraction</option>
| |
| <option value="0.01|0|percent">percent</option>
| |
| <option value="1|0|rate">rate</option>
| |
| <option value="1|0|ratio" selected="selected">ratio</option>
| |
| </select>
| |
| </span></td>
| |
| </tr>
| |
|
| |
| <tr>
| |
| <td align="right"><span class="medCalcFontResultParam">LR Neg</span></td>
| |
| <td valign="top" nowrap="nowrap"> <input type="text" name="LR_Neg_param" size="6" onfocus="blur();" /></td>
| |
| <td valign="top" align="left"><span class="medCalcFontResultParam">
| |
| <select name="LR_Neg_unit" onchange="BayesianAnalysis_1_fx(); minMaxCheck();" style="width:115px;" class="medCalcFontSelect">
| |
| <option value="0.01|0|%">%</option>
| |
| <option value="1|0|fraction">fraction</option>
| |
| <option value="0.01|0|percent">percent</option>
| |
| <option value="1|0|rate">rate</option>
| |
| <option value="1|0|ratio" selected="selected">ratio</option>
| |
| </select>
| |
| </span></td>
| |
| </tr>
| |
|
| |
| <tr>
| |
| <td align="right"><span class="medCalcFontResultParam">Pre Test Odds</span></td>
| |
| <td valign="top" nowrap="nowrap"> <input type="text" name="Pre_Test_Odds_param" size="6" onfocus="blur();" /></td>
| |
| <td valign="top" align="left"><span class="medCalcFontResultParam">
| |
| <select name="Pre_Test_Odds_unit" onchange="BayesianAnalysis_1_fx(); minMaxCheck();" style="width:115px;" class="medCalcFontSelect">
| |
| <option value="0.01|0|%">%</option>
| |
| <option value="1|0|fraction">fraction</option>
| |
| <option value="0.01|0|percent">percent</option>
| |
| <option value="1|0|rate">rate</option>
| |
| <option value="1|0|ratio" selected="selected">ratio</option>
| |
| </select>
| |
| </span></td>
| |
| </tr>
| |
|
| |
| <tr>
| |
| <td align="right"><span class="medCalcFontResultParam">Post Odds Pos</span></td>
| |
| <td valign="top" nowrap="nowrap"> <input type="text" name="Post_Odds_Pos_param" size="6" onfocus="blur();" /></td>
| |
| <td valign="top" align="left"><span class="medCalcFontResultParam">
| |
| <select name="Post_Odds_Pos_unit" onchange="BayesianAnalysis_1_fx(); minMaxCheck();" style="width:115px;" class="medCalcFontSelect">
| |
| <option value="0.01|0|%">%</option>
| |
| <option value="1|0|fraction">fraction</option>
| |
| <option value="0.01|0|percent">percent</option>
| |
| <option value="1|0|rate">rate</option>
| |
| <option value="1|0|ratio" selected="selected">ratio</option>
| |
| </select>
| |
| </span></td>
| |
| </tr>
| |
|
| |
| <tr>
| |
| <td align="right"><span class="medCalcFontResultParam">Post Prob Pos</span></td>
| |
| <td valign="top" nowrap="nowrap"> <input type="text" name="Post_Prob_Pos_param" size="6" onfocus="blur();" /></td>
| |
| <td valign="top" align="left"><span class="medCalcFontResultParam">
| |
| <select name="Post_Prob_Pos_unit" onchange="BayesianAnalysis_1_fx(); minMaxCheck();" style="width:115px;" class="medCalcFontSelect">
| |
| <option value="0.01|0|%">%</option>
| |
| <option value="1|0|fraction">fraction</option>
| |
| <option value="0.01|0|percent">percent</option>
| |
| <option value="1|0|rate">rate</option>
| |
| <option value="1|0|ratio" selected="selected">ratio</option>
| |
| </select>
| |
| </span></td>
| |
| </tr>
| |
|
| |
| <tr>
| |
| <td align="right"><span class="medCalcFontResultParam">Post Odds Neg</span></td>
| |
| <td valign="top" nowrap="nowrap"> <input type="text" name="Post_Odds_Neg_param" size="6" onfocus="blur();" /></td>
| |
| <td valign="top" align="left"><span class="medCalcFontResultParam">
| |
| <select name="Post_Odds_Neg_unit" onchange="BayesianAnalysis_1_fx(); minMaxCheck();" style="width:115px;" class="medCalcFontSelect">
| |
| <option value="0.01|0|%">%</option>
| |
| <option value="1|0|fraction">fraction</option>
| |
| <option value="0.01|0|percent">percent</option>
| |
| <option value="1|0|rate">rate</option>
| |
| <option value="1|0|ratio" selected="selected">ratio</option>
| |
| </select>
| |
| </span></td>
| |
| </tr>
| |
|
| |
| <tr>
| |
| <td align="right"><span class="medCalcFontResultParam">Post Prob Neg</span></td>
| |
| <td valign="top" nowrap="nowrap"> <input type="text" name="Post_Prob_Neg_param" size="6" onfocus="blur();" /></td>
| |
| <td valign="top" align="left"><span class="medCalcFontResultParam">
| |
| <select name="Post_Prob_Neg_unit" onchange="BayesianAnalysis_1_fx(); minMaxCheck();" style="width:115px;" class="medCalcFontSelect">
| |
| <option value="0.01|0|%">%</option>
| |
| <option value="1|0|fraction">fraction</option>
| |
| <option value="0.01|0|percent">percent</option>
| |
| <option value="1|0|rate">rate</option>
| |
| <option value="1|0|ratio" selected="selected">ratio</option>
| |
| </select>
| |
| </span></td>
| |
| </tr>
| |
|
| |
| <tr>
| |
| <td align="right"><span class="medCalcFontResultParam">False Pos Rate</span></td>
| |
| <td valign="top" nowrap="nowrap"> <input type="text" name="False_Pos_Rate_param" size="6" onfocus="blur();" /></td>
| |
| <td valign="top" align="left"><span class="medCalcFontResultParam">
| |
| <select name="False_Pos_Rate_unit" onchange="BayesianAnalysis_1_fx(); minMaxCheck();" style="width:115px;" class="medCalcFontSelect">
| |
| <option value="1|0|%" selected="selected">%</option>
| |
| <option value="100|0|fraction">fraction</option>
| |
| <option value="1|0|percent">percent</option>
| |
| <option value="100|0|rate">rate</option>
| |
| <option value="100|0|ratio">ratio</option>
| |
| </select>
| |
| </span></td>
| |
| </tr>
| |
|
| |
| <tr>
| |
| <td align="right"><span class="medCalcFontResultParam">False Neg Rate</span></td>
| |
| <td valign="top" nowrap="nowrap"> <input type="text" name="False_Neg_Rate_param" size="6" onfocus="blur();" /></td>
| |
| <td valign="top" align="left"><span class="medCalcFontResultParam">
| |
| <select name="False_Neg_Rate_unit" onchange="BayesianAnalysis_1_fx(); minMaxCheck();" style="width:115px;" class="medCalcFontSelect">
| |
| <option value="1|0|%" selected="selected">%</option>
| |
| <option value="100|0|fraction">fraction</option>
| |
| <option value="1|0|percent">percent</option>
| |
| <option value="100|0|rate">rate</option>
| |
| <option value="100|0|ratio">ratio</option>
| |
| </select>
| |
| </span></td>
| |
| </tr>
| |
|
| |
| <tr>
| |
| <td align="right"><span class="medCalcFontResultParam">Overall Acc</span></td>
| |
| <td valign="top" nowrap="nowrap"> <input type="text" name="Overall_Acc_param" size="6" onfocus="blur();" /></td>
| |
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| <option value="1|0|%" selected="selected">%</option>
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| <option value="100|0|fraction">fraction</option>
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| <option>1</option>
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| <br /> <br />
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| <span class="medCalcFontRef"><b>Equations used</b></span>
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|
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| <br /> <br />
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| <center>
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| <div id="calc_equation">
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| <table cellspacing="0" cellpadding="10" summary="EBMcalc Table"><tr><td class="medCalcFormuliBox"><span class="medCalcFontFormuli">TruePos = Sensitivity * Prevalence</span></td></tr><tr><td class="medCalcFormuliBox"><span class="medCalcFontFormuli">FalsePos = (1 - Specificity) * (1 - Prevalence)</span></td></tr><tr><td class="medCalcFormuliBox"><span class="medCalcFontFormuli">TrueNeg = Specificity * (1 - Prevalence)</span></td></tr><tr><td class="medCalcFormuliBox"><span class="medCalcFontFormuli">FalseNeg = (1 - Sensitivity) * Prevalence</span></td></tr><tr><td class="medCalcFormuliBox"><span class="medCalcFontFormuli">PosPredValue = 100 * TruePos / (TruePos + FalsePos)</span></td></tr><tr><td class="medCalcFormuliBox"><span class="medCalcFontFormuli">NegPredValue = 100 * TrueNeg / (TrueNeg + FalseNeg)</span></td></tr><tr><td class="medCalcFormuliBox"><span class="medCalcFontFormuli">LRPos = Sensitivity / (1-Specificity)</span></td></tr><tr><td class="medCalcFormuliBox"><span class="medCalcFontFormuli">LRNeg = (1-Sensitivity) / Specificity</span></td></tr><tr><td class="medCalcFormuliBox"><span class="medCalcFontFormuli">PreTestOdds = Prevalence / (1 - Prevalence)</span></td></tr><tr><td class="medCalcFormuliBox"><span class="medCalcFontFormuli">PostOddsPos = PreTestOdds * LRPos</span></td></tr><tr><td class="medCalcFormuliBox"><span class="medCalcFontFormuli">PostProbPos = PostOddsPos / (1 + PostOddsPos)</span></td></tr><tr><td class="medCalcFormuliBox"><span class="medCalcFontFormuli">PostOddsNeg = PreTestOdds * LRNeg</span></td></tr><tr><td class="medCalcFormuliBox"><span class="medCalcFontFormuli">PostProbNeg = PostOddsNeg / (1 + PostOddsNeg)</span></td></tr><tr><td class="medCalcFormuliBox"><span class="medCalcFontFormuli">FalsePosRate = 100 * FalsePos / (FalsePos + TrueNeg)</span></td></tr><tr><td class="medCalcFormuliBox"><span class="medCalcFontFormuli">FalseNegRate = 100 * FalseNeg / (TruePos + FalseNeg)</span></td></tr><tr><td class="medCalcFormuliBox"><span class="medCalcFontFormuli">OverallAcc = 100 * (TruePos + TrueNeg)</span></td></tr></table><br /> <br />
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| </div> </center>
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|
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| <div id="calc_tables">
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| <span class="medCalcFontRef"><b>References</b></span>
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| <ol>
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| <li><span class="medCalcFontRef">Perera R, Heneghan C. Making sense of diagnostic test likelihood ratios. <i>ACP J Club</i>. 2007 Mar-Apr;146(2):A8-9. PubMed ID: 17335149 <a target="_blank" href="https://www.ncbi.nlm.nih.gov/pubmed/17335149"><img border="0" src="pubmed.gif" align="top" alt="PubMed Logo" /></a> </span></li>
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| <li><span class="medCalcFontRef">Page J, Attia J. Using Bayes' nomogram to help interpret odds ratios. <i>ACP J Club</i>. 2003 Sep-Oct;139(2):A11-2. PubMed ID: 12954046 <a target="_blank" href="https://www.ncbi.nlm.nih.gov/pubmed/12954046"><img border="0" src="pubmed.gif" align="top" alt="PubMed Logo" /></a> </span></li>
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| </ol>
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| </div>
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|
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| <br /> <br />
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| <div id="calc_mesh">
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| <span class="medCalcFontRef"><b>Associated Medical Subject Headings [MeSH] </b></span>
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| <br /> <br />
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| <table width="100%" border="0" cellpadding="0" cellspacing="0" summary="EBMcalc Table">
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| <tr>
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| <td> </td>
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| <td align="left">
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| <span class="medCalcFontOne">
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| <a href="" onclick="parentSearch('Bayes Theorem'); return false;" style="text-decoration: none;">Bayes Theorem</a>, <a href="" onclick="parentSearch('Diagnostic Techniques and Procedures'); return false;" style="text-decoration: none;">Diagnostic Techniques and Procedures</a>, <a href="" onclick="parentSearch('Evidence-Based Medicine'); return false;" style="text-decoration: none;">Evidence-Based Medicine</a>, <a href="" onclick="parentSearch('Humans'); return false;" style="text-decoration: none;">Humans</a>, <a href="" onclick="parentSearch('Likelihood Functions'); return false;" style="text-decoration: none;">Likelihood Functions</a>, <a href="" onclick="parentSearch('Odds Ratio'); return false;" style="text-decoration: none;">Odds Ratio</a>
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| </span>
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| </td>
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| </tr>
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| </table>
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| </div>
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| </form>
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| <div id="calc_disclaimer"><br /> <br /><center><table cellpadding="20" summary="EBMcalc Table"><tr><td class="medCalcDisclaimerBox"><center><span class="medCalcFontTwo"><b><u>Legal Notices and Disclaimer</u></b></span></center><br /> <br /><span class="medCalcFontTwo">All information contained in and produced by the EBMcalc system is provided
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| for educational purposes only. This information should not be used for the
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| diagnosis or treatment of any health problem or disease.
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| <b>THIS INFORMATION IS NOT INTENDED TO REPLACE CLINICAL JUDGMENT OR
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| GUIDE INDIVIDUAL PATIENT CARE IN ANY MANNER.
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| </b><a href="disclaimer.htm" target="_blank">Click here for full notice and disclaimer.</a></span><br /> <br /><center><span class="medCalcFontTwo">EBMcalc is Copyright © 1998-2021 Foundation Internet [Build 264486 v21.3]</span></center></td></tr></table></center>
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