With a low risk in the first place, the odds ratios will be a good
approximation to the relative risk, but if you do want to model relative
risk you'd be better off using a Poisson family with log link (or do it
more economically with a Poisson regression). Use the robust variance
option and you should solve your problem. See Guangyong Zou "A modified
Poisson regression approach to prospective studies with binary data" Am
J Epidemiol (2004) 159: 702-706
Paul Silcocks BM BCh, MSc, FRCPath, FFPH, CStat Clinical Senior Lecturer
Nottingham Clinical Trials Support Unit
Room B39
School of Community Health Sciences
University of Nottingham Medical School
Nottingham
NG7 2UH
tel +44 115 9515151 x 30514
Direct line: +44 115 8230505.
General office: +44 115 8230500
fax +44 115 8230515
e-mail [email protected]
-----Original Message-----
From: [email protected]
[mailto:[email protected]] On Behalf Of Sue Kim
Sent: 04 December 2007 22:46
To: [email protected]
Subject: st: calculating relative risk
Hi. I have a binary outcome where the probability of outcome is low so I
want to get an adjusted relative risk (rather than odds ratio) using
glm. When using glm with fam(bin) link(log) command, I get a warning
"parameter estimates produce inadmissible mean estimates in one or more
observation". Could I still use the results or is there a way to get
around this problem?
Thank you.
Sue
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