Notice: On April 23, 2014, Statalist moved from an email list to a forum, based at statalist.org.
[Date Prev][Date Next][Thread Prev][Thread Next][Date Index][Thread Index]
st: R: compare survivor functions
From
"Carlo Lazzaro" <[email protected]>
To
<[email protected]>
Subject
st: R: compare survivor functions
Date
Tue, 8 Mar 2011 15:17:10 +0100
A temptative answer would consider to perform 6 pairwise comparisons (i.e.:
Group 1 vs Group 2; Group 1 vs Group 3; Group 1 vs Group 4; Group 2 vs Group
3; Group 2 vs Group 4; Group 3 vs Group 4)with, for example, a Log-rank test
(or whatever is appropriate with your data) and multiplying by 6 (the number
of the pairwise comparisons) the p-value obtained in each pairwise
comparison.
This procedure should shed light on which Group(s) actually lead(s) the
significance of the overall test groups that you performed.
HTH and Kindest Regards,
Carlo
-----Messaggio originale-----
Da: [email protected]
[mailto:[email protected]] Per conto di Jörg Eulenberger
Inviato: martedì 8 marzo 2011 14.57
A: '[email protected]'
Oggetto: st: compare survivor functions
Dear Statalisters,
I have 4 Groups (migrants) with disproportional survival functions. The
Peto-Peto test for equality of survivor functions is significant (sts
test groups, peto trend) . How can I do multiple group comparisons (like
scheffe after oneway) of the survival functions ? Is it possible?
Thanks,
Jörg
*
* For searches and help try:
* http://www.stata.com/help.cgi?search
* http://www.stata.com/support/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/statalist/faq
* http://www.ats.ucla.edu/stat/stata/