Dear all,
First of all sorry if this is a dumb question...
I'm trying to fit a linear model between the logarithm of two numerical
variables (log(y) ~ log(x)). A log-log plot shows that the variance of
log(y) is decreasing with the mean of log(x), in other words the points
are quite dispersed
okay, so now the bootcov works fine.
aren't the lower bootstrap variances just what Karla is talking about when
she writes on the website describing the eyestudy that i was trying to redo
in the first place:
Using a Poisson model without robust error variances will result in a
confidence
Thank you very much for your comments!
however, i still do not get it right.
robcov() accepts fit objects like lrm or ols objects as arguments,
but obviously not the glmD objects (or at least not as simple as that).
below some code to demonstrate.
what am i still doing wrong?
thx for your efforts-
Lutz Ph. Breitling wrote:
Thank you very much for your comments!
however, i still do not get it right.
robcov() accepts fit objects like lrm or ols objects as arguments,
but obviously not the glmD objects (or at least not as simple as that).
below some code to demonstrate.
what am i still doing
Dear all,
i am trying to redo the 'eyestudy' analysis presented on the site
http://www.ats.ucla.edu/stat/stata/faq/relative_risk.htm
with R (1.9.0), with special interest in the section on relative risk
estimation by poisson regression with robust error variance.
so i guess rlm is the function
On Wed, 2 Jun 2004, Lutz Ph. Breitling wrote:
Dear all,
i am trying to redo the 'eyestudy' analysis presented on the site
http://www.ats.ucla.edu/stat/stata/faq/relative_risk.htm
with R (1.9.0), with special interest in the section on relative risk
estimation by poisson regression with
Thomas Lumley wrote:
On Wed, 2 Jun 2004, Lutz Ph. Breitling wrote:
Dear all,
i am trying to redo the 'eyestudy' analysis presented on the site
http://www.ats.ucla.edu/stat/stata/faq/relative_risk.htm
with R (1.9.0), with special interest in the section on relative risk
estimation by poisson
On Fri, 2003-03-28 at 12:49, Meles MELES wrote:
Hi,
somebody asked me to do a Poisson regression on cancer incidence over
years to see wether if there is a descending or an ascending tendancy.
I tried with R, but it complains that the data are not integer but
floating poing data. So,
