Log-rank tests for trend

[MarcinKosinski]

Due to the email

Dear Marcin and Alboukadel,

I am a cancer researcher working on biomarkers and is currently eager to take advantage of R to perform more advanced and effective survival analyses. I was recently thrilled to discover the survminer package which I think is excellent; great work. I have one specific question regarding how to perform log rank test for trend? This is important to my research since biomarker data are often ordinal. I am a novice in R, and is unfortunately not able to find any R documentation for how to perform logrank test for trend in the survminer package, although I found an issue where the both of you touched upon it (“Other tests than log-rank for testing survival curves and Log-rank test for trend #17”), but was not able to find out whether the issue was solved or not. I would be sincerely grateful if you could suggest a solution to this since I really would like to start using this package for all my future survival analyses.

I am creating an issue for that (even though we had a long time ago an issue for that - #17).

[kassambara]

We can add the argument test.for.trend = FALSE/TRUE in surv_pvalue() function used by ggsurvplot() to compute survival pvalues. I can d this

[kassambara]

I can do this if you're not working on it...

[MarcinKosinski]

Please feel free to work on that, I am having to much R recently.

[kassambara]

New option test.for.trend added in ggsurvplot() to perform a log-rank test for trend. logical value. Default is FALSE. If TRUE, returns the test for trend p-values.

[MarcinKosinski]

Thank you! Good job