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如何通过 R 在 IPTW(治疗加权的逆概率)队列中实施竞争风险分析

[英]How to implement competing risk analysis in IPTW (inverse probability of treatment weighting) cohort by R

Because the baseline characters of two group were different, IPTW were used to balance the two groups, and it has been done in R. "cmprsk" package in R were used to get cumulative incidence curves (CIFs) for competing risk.由于两组的基线特征不同,IPTW被用来平衡两组,并且已经在R中完成。使用R中的“cmprsk”包来获得竞争风险的累积发生率曲线(CIF)。 I know how to get a non-weigted CIF in the crude cohort, however, I don't know how to creat a weighted CIF in IPTW cohort.我知道如何在粗略队列中获得非加权 CIF,但是,我不知道如何在 IPTW 队列中创建加权 CIF。 In previous reports, we have noticed this function can be implemented by SAS or Stata, but we don't have the access to the two software, so how to implement Inverse probability of treatment-weighted competing risks analysis in R is very important for me.在之前的报道中,我们注意到这个功能可以通过SAS或Stata实现,但是我们没有使用这两个软件,所以如何在R中实现治疗加权竞争风险的逆概率分析对我来说非常重要.

R 的 cmprskcoxmsm 包确实实现了 IPTW 竞争风险分析https://cran.r-project.org/web/packages/cmprskcoxmsm/cmprskcoxmsm.pdf

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