R Folk:
Please forgive what I'm sure is a fairly naïve question; I hope it's clear.
A colleague and I have been doing a really simple one-off survival analysis,
but this is an area with which we are not very familiar, we just happen to
have gathered some data that needs this type of analysis.
On Sep 15, 2009, at 9:58 PM, Bryan Hanson wrote:
R Folk:
Please forgive what I'm sure is a fairly naïve question; I hope it's
clear.
A colleague and I have been doing a really simple one-off survival
analysis,
but this is an area with which we are not very familiar, we just
happen to
I think you do in fact want to just run the analysis for the four groups you
are interested in. The logrank chisquared test would then be of the hypothesis
that these four groups have the same survival and censoring distributions, with
the greatest power for detecting proportional-hazards
Thomas, thanks for your comments. We weren't entirely sure we we even
framing the question right, your comments are encouraging. Here are our
results:
Call:
coxph(formula = Surv(lifespan, status) ~ group, data = four)
n= 573
coef exp(coef) se(coef) z Pr(|z|)
groupT1
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