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1. Simulation of survival data to produce sample size estimate. (score: 1): Author: "John Sorkin" <jsorkin@grecc.umaryland.edu>; Date: Mon, 16 Jun 2003 18:39:10 -0400; I am planning a longitudinal follow-up of a human population. In the past when I needed a sample size estimate for a survival study I have used a parametric approach to the sample size estimation, i.; /archives/html/s-news/2003-06/msg00102.html (7,684 bytes)
2. Re: Simulation of survival data to produce sample size estimate. (score: 1): Author: Spencer Graves <spencer.graves@PDF.COM>; Date: Mon, 16 Jun 2003 17:59:52 -0700; The Survival function S(t) = Pr(T>t) = exp(-H(t)) where H(t) = cumulative hazard = integral of the hazard rate h(t.). If we can get h(t), then we can get H(t), and then we can generate n pseudo-rando; /archives/html/s-news/2003-06/msg00104.html (12,115 bytes)
3. Re: Simulation of survival data to produce sample size estimate. (score: 1): Author: Terry Therneau <therneau@mayo.edu>; Date: Tue, 17 Jun 2003 08:24:37 -0500 (CDT); Why not use the actual survival curve? Assume a male, enrolled at age 50 in 1990: This gives a survival curve, now grab random survival times off of it: Splus has the US, US by race, Minnesota, Flori; /archives/html/s-news/2003-06/msg00112.html (7,838 bytes)

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