I have a dataset with survival data and a few missing covariates. I've successfully applied the mice-package to imputate m-numbers of datasets using the mice() function, created an imputationList object and applied a Cox PH model on each m-dataset. Subsequently I'ved pooled the results using the MIcombine() function. This leads to my question:
How can I get a p-value for the pooled estimates for each covariate? Are they hidden somewhere within the MIcombine object?
我知道 p 值并不是一切，但报告估计值和置信区间而没有相应的 p 值对我来说似乎很奇怪。我能够计算一个近似值。使用例如Altman …