Is there any R implementation of inverse probability weighted Kaplan-Meier estimator for left truncated and right censored data?

I found only implementation without left truncation in IPWsurvival package.

  • $\begingroup$ Thanks for your answer. How I can understand that survfit() I used is considering left-truncation? $\endgroup$
    – Ana
    Dec 12, 2020 at 22:33
  • $\begingroup$ Hello! In my opinion, you can see this by printing a Surv() object. If it looks like [200, 269+], then the left truncation is used. If it looks like 269+ – then the left truncation is not used. $\endgroup$
    – Kess
    Dec 24, 2020 at 12:05

1 Answer 1


God, that was incredibly easy.

This can obviously be done with a conventional function survfit(). You need to assign desired weights to parameter w. Package IPWsurvival is needed only for the correct application of logrank test.

I hope this answer will save a lot of time for future researchers.


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