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From | "Roger B. Newson" <r.newson@imperial.ac.uk> |
To | statalist@hsphsun2.harvard.edu |
Subject | Re: st: Cut-off point for ROC curve using parametric and non-parametric method |
Date | Sun, 20 Jan 2013 16:30:46 +0000 |
I hope this helps. Best wishes Roger Roger B Newson BSc MSc DPhil Lecturer in Medical Statistics Respiratory Epidemiology and Public Health Group National Heart and Lung Institute Imperial College London Royal Brompton Campus Room 33, Emmanuel Kaye Building 1B Manresa Road London SW3 6LR UNITED KINGDOM Tel: +44 (0)20 7352 8121 ext 3381 Fax: +44 (0)20 7351 8322 Email: r.newson@imperial.ac.uk Web page: http://www.imperial.ac.uk/nhli/r.newson/ Departmental Web page: http://www1.imperial.ac.uk/medicine/about/divisions/nhli/respiration/popgenetics/reph/ Opinions expressed are those of the author, not of the institution. On 19/01/2013 03:38, Pham Ngoc Minh wrote:
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/
* * 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/