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| From | Pham Ngoc Minh <phamngocm@gmail.com> |
| To | statalist@hsphsun2.harvard.edu |
| Subject | st: Cut-off point for ROC curve using parametric and non-parametric method |
| Date | Sat, 19 Jan 2013 12:38:03 +0900 |
Dear Statalist, I want to construct age-adjusted (age is a continuous variable) optimal cut-off points for body mass index (bmi) and waist circumference (wc) in determining metabolic syndrome (metabo) for a large study. My question is how can I calculate sensitivity and specificity for bmi and wc with adjustment for age, based on which I can calculate Youden index. For non-parametric method, I know only about using command: roctab metabo bmi, detail or senspec metabo bmi, se(varname1) spe(varname2) (without covariate adjustment). Moreover, how can I calculate age-adjusted sensitivity and specificity using parametric ROC analysis. It is because using non-parametric method showed P less than 0.01, although AUC for bmi and wc was somewhat similar. Thank you for your guidance in advance. Pham Ngoc Minh Thai Nguyen University Faculty of Public Health, Vietnam * * For searches and help try: * http://www.stata.com/help.cgi?search * http://www.stata.com/support/faqs/resources/statalist-faq/ * http://www.ats.ucla.edu/stat/stata/