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j******4 发帖数: 6090 | 1 variables: Age(in month) Female(dummy), Smoke(dummy)
outcome(counts): time1 time2 time3 time4
Reshaped into long form then the data looks like this:
ID time Y Age Female Smoke
1 1 0 30 1 1
1 2 1 30 1 1
1 3 5 30 1 1
1 4 2 30 1 1
...
可以用GEE或者mixed model,但是据我观察,在 time=1 的时候,会有很多 Y = 0,我
在想 Zero-Inflated-Poisson(ZIP) 是否可以用来分析这种repeated measures的data,要
如何用呢?
多谢各位~ | s*********e 发帖数: 1051 | 2 zip is a simple case of finite mixture and should be governed under glmm
framework.
【在 j******4 的大作中提到】 : variables: Age(in month) Female(dummy), Smoke(dummy) : outcome(counts): time1 time2 time3 time4 : Reshaped into long form then the data looks like this: : ID time Y Age Female Smoke : 1 1 0 30 1 1 : 1 2 1 30 1 1 : 1 3 5 30 1 1 : 1 4 2 30 1 1 : ... : 可以用GEE或者mixed model,但是据我观察,在 time=1 的时候,会有很多 Y = 0,我
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