26 Jun 05:00 2016

### function for over dispersed poisson regression in the setting of a random effects model

John Sorkin <jsorkin <at> grecc.umaryland.edu>

2016-06-26 03:00:17 GMT

2016-06-26 03:00:17 GMT

Is there a function that will run a model appropriate for over dispersed data (such as a negative binomial or quasipoisson) with a random effects (or mixed effects) model in R? GLMER will not accept: family=quasipoisson(link="log") or family=negbinomial(link="log") I want to run something like the following: fit0 <- glmer(Fall ~ Group+(1|PID)+offset(log(TimeYrs)),family=quasipoisson(link="log"),data=data) Thank you John John David Sorkin M.D., Ph.D. Professor of Medicine Chief, Biostatistics and Informatics University of Maryland School of Medicine Division of Gerontology and Geriatric Medicine Baltimore VA Medical Center 10 North Greene Street GRECC (BT/18/GR) Baltimore, MD 21201-1524 (Phone) 410-605-7119 (Fax) 410-605-7913 (Please call phone number above prior to faxing) Confidentiality Statement: This email message, including any attachments, is for the sole use of the intended recipient(s) and may contain confidential and privileged information. Any unauthorized use, disclosure or distribution is prohibited. If you are not the intended recipient, please contact the sender by reply email and destroy all copies of the original message.