| To: | "Inman, Brant A. M.D." <Inman.Brant@mayo.edu> |
|---|---|
| Subject: | Re: Sample size for logistic regression with multiple covariates |
| From: | Daniel_J_Celta@fpl.com |
| Date: | Wed, 9 Aug 2006 18:46:36 -0400 |
| Cc: | "'s-news@lists.biostat.wustl.edu'" <s-news@lists.biostat.wustl.edu>, s-news-owner@lists.biostat.wustl.edu |
Inman,
I would try to think of the problem from a slightly different perspective.
I would try to design an experiment under a factorial framework.
You can think of a n^k design where k = the number of independent variables
and n = the number of levels.
Once there, you could think of doing a full factorial or a fractional
factorial design depending on the interactions you think are most
important.
There is a function in Splus "fac.design" that would help you defining the
experiments in preparation for the analysis.
I hope this helps
Daniel J Celta
Project Valuation - Special Valuations
561 691 7653
"Inman, Brant A. M.D."
<Inman.Brant@mayo.edu> To:
"'s-news@lists.biostat.wustl.edu'" <s-news@lists.biostat.wustl.edu>
Sent by: cc:
s-news-owner@lists.biosta Subject: [S] Sample
size for logistic regression with multiple covariates
t.wustl.edu
08/09/2006 05:18 PM
I am designing a mouse experiment for testing a new treatment for bladder
cancer. The idea is to evaluate treatment effectiveness and treatment by
gene interactions. The variables are:
Outcome (Y): binary (0/1); presence/absence of tumor
Covariate1 (X1): categorical (0/1/2); genotype of mouse (XX, X0, 00)
Covariate2 (X2): binary (0/1); presence/absence of treatment
I am having trouble calculating the sample size for this experiment. Does
anyone know of an S-Plus or R function that has been written to calculate
sample size for a multiple logistic regression situation?
_________________________________________________
Dr. Brant A. Inman, MD FRCSC
Urologic Oncology Fellow, Mayo Clinic College of Medicine
200 First Street SW
Rochester, MN 55905
Phone: (507) 284-1330
Fax: (507) 284-4951
Email: inman.brant@mayo.edu
_________________________________________________
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