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From | Laura Gibbons <gibbonsl@u.washington.edu> |
To | statalist@hsphsun2.harvard.edu |
Subject | Re: st: covariates predicting multiple outcomes in survival analysis |
Date | Fri, 22 Feb 2013 09:14:20 -0800 (PST) |
To close this thread, I found a solution in: Putter, H., Fiocco, M. and Geskus , R. B. (2007) Tutorial in biostatistics: Competing risks and multi-state models Statistics in Medicine, 26, 2389-2430 On Wed, 20 Feb 2013, Laura Gibbons wrote:
The FAQ on multiple failure times data in Stata was very useful in helping me prepare my data for survival analysis. I've got 4 types of dementia as the events.My question is, is there any way to test whether a covariate had the same/different effect on the 4 types of dementia.For example, does high blood pressure have the same predictive power for each the 4 types of dementia?I'd appreciate any references that might help me, even if you don't know the answer off the top of your head. My pubmed searches weren't productive.thanks, Laura ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Laura E. Gibbons, PhD General Internal Medicine, University of Washington Box 359780, Harborview Medical Center, 325 Ninth Ave, Seattle, WA 98104 phone: 206-744-1842, fax: 206-744-9917, Office address: 401 Broadway, Suite 5122.6 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ * * 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/
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Laura E. Gibbons, PhD General Internal Medicine, University of Washington Box 359780, Harborview Medical Center, 325 Ninth Ave, Seattle, WA 98104 phone: 206-744-1842, fax: 206-744-9917, Office address: 401 Broadway, Suite 5122.6 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ * * 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/