Hi:
I have asked this question on Cross-Validated. So it might be a cross
posting but havent received any responses to it.
I am trying to see which distribution will best fit the data I am working
on. The dataset is as following:
Site Nausea headache Abdominal Distension
1 17 5 10
2 12 8 7
.....
So each site has total # adverse events for each type/category and have
equal # patients per site, say 60 and there are 63 sites. If I were to
analyze the data for multiple outcomes per site, the number of events per
category given the category response rates can be assumed to be
independently distributed. They can be modeled by a multinomial
distribution with parameters n=60 and category response rates pi1, . . . ,
piC for site i. The individual variation in category response rates can be
modeled by a Dirichlet distribution.
Just wondering if I am thinking through this correctly.
If so, could someone share some thoughts on how this could be done in R?
Really Appreciate any help.
Thanks
Anamika
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