On Wed, 15 Sep 2010, Ravi Varadhan wrote:
Dear Thomas,
You said, "the log-binomial model is very non-robust when the fitted values
get close to 1, and there is some controversy over the best approach."
Could you please point me to a paper that discusses the issues?
I have written some code to
lund
Cc: r-help@r-project.org
Subject: Re: [R] relative risk regression with survey data
On Mon, 13 Sep 2010, Daniel Nordlund wrote:
> I have been asked to look at options for doing relative risk regression on
> some survey data. I have a binary DV and several predictor / adjustment
&g
Thanks to Thomas Lumley and David Winsemius for their responses. I
had read a number of papers by Thomas and have ordered his book on
survey analysis, but I wanted to get some confirmation because I
wanted to get started before the book arrived. Thanks, again.
Dan
Daniel Nordlund
Bothell, WA US
On Mon, 13 Sep 2010, Daniel Nordlund wrote:
I have been asked to look at options for doing relative risk regression on
some survey data. I have a binary DV and several predictor / adjustment
variables. In R, would this be as "simple" as using the survey package to
set up an appropriate desig
I have been asked to look at options for doing relative risk regression
on some survey data. I have a binary DV and several predictor /
adjustment variables. In R, would this be as "simple" as using the
survey package to set up an appropriate design object and then running
svyglm with family=
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