Poisson regression with two random effects: WinBUGS, OpenBUGS and JAGS Options
In my last posting (available here) I described Stata programs that call WinBUGS, OpenBUGS or JAGS to fit a Poisson regression model with two random effects. WinBUGS, OpenBUGS and JAGS make automatic choices about the samplers that they use and in my previous comparison I accepted the defaults offered by those programs. This week I want to look […]
Poisson regression with two random effects: WinBUGS, OpenBUGS or JAGS
Over the last two weeks I have been looking at the analysis of the epilespy trial data taken from Thall and Vail (1990). So far I have concentrated on a Bayesian analysis of those data using Stata alone, but this model involves Poisson regression with two random effects, so it is quite complex and it takes a […]
Poisson regression with two random effects: Improving performance
Last time I analysed the epilesy data taken from Thall and Vail(1990). The model involved a Poisson regression with two random effects and I showed how this can be programmed in Stata by storing the values of the random effects in Stata variables rather than in a Stata matrix. However, the resulting do file was […]
Poisson regression with two random effects
Here we go again There has been quite a long gap since my last post because over the New Year and for a large part of January I was visiting my daughter who is working in Colombia. It was my first time in South America and I was immediately struck by the beauty and the vitality […]
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