On Dec 27, 2011, at 12:05 PM, Cheung Zihong wrote:
Thank you for your reply.
I didn't know what adjust methods can apply to log-rank tests.Or the
kind of tests are just not relevant? SAS seems to use sidak
method to do pairwise log-rank tests. which one is sidak method in
p.adjust methods?
p.adjust.methods
# c("holm", "hochberg", "hommel", "bonferroni", "BH", "BY",
# "fdr", "none")
Multiple comparisons adjustments have their own "rules of engagement"
and they do not generally come from the test-statistic used but rather
from the design and goals of the study. Since "SAS" is not a sentient
being, much less a statistical consultant, appealing to SAS's
"choices" for statistical consultation would seem unwise. Instead,
since you are feeling unprepared for this task, you should describe to
your consulting statistician how your data was c=gathered and what
your goals were.
2011/12/27 David Winsemius <dwinsem...@comcast.net>
On Dec 27, 2011, at 9:52 AM, Elliott wrote:
Hello R users:
I wonder if there are functions for multiple log-rank tests with
adjusted
P-values. I found survdiff( ) only give pooled tests but
without pairwise ones.
Klein and Moeschberger suggest Bonferroni as a starting point. Why
not use p.adjust which would be a bit less conservative?
David Winsemius, MD
West Hartford, CT
David Winsemius, MD
West Hartford, CT
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