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-Original Message-
From: [EMAIL PROTECTED] [mailto:[EMAIL PROTECTED] On Behalf Of Inman, Brant A.
M.D.
Sent: Tuesday, March 06, 2007 00:56
To: r-help@stat.math.ethz.ch
Cc: Weigand, Stephen D.
Subject: [R] Mixed effects multinomial regression and meta-analysis
R
I just realized that the example I used in my previous posting today is
incorrect because it is a binary response, not a multilevel response
(small, medium, large) such as my real life problem has. I apologize
for the confusion. The example is incorrect, but the multinomial
problem is
R Experts:
I am conducting a meta-analysis where the effect measures to be pooled
are simple proportions. For example, consider this data from
Fleiss/Levin/Paik's Statistical methods for rates and proportions (2003,
p189) on smokers:
Study N Event P(Event)
1 86 83
R-Experts:
I just realized that the example I used in my previous posting today is
incorrect because it is a binary response, not a multilevel response
(small, medium, large) such as my real life problem has. I apologize
for the confusion. The example is incorrect, but the multinomial
