Re: st: R: compare survivor functions

[Jörg Eulenberger <j.eulenberger@web.de>]

Thanks a lot,
Jörg


Am 08.03.2011 15:17, schrieb Carlo Lazzaro:
> 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: owner-statalist@hsphsun2.harvard.edu
> [mailto:owner-statalist@hsphsun2.harvard.edu] Per conto di Jörg Eulenberger
> Inviato: martedì 8 marzo 2011 14.57
> A: 'statalist@hsphsun2.harvard.edu'
> 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
>
>
>
>
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