Introduction to Survival Analysis in R

[@MelisaPandolfi]

when estimating survival curve with Time Varying Cov. Cox, can we still use the Kaplan Meier function showed in the course as baseline?

[@julieyananzhu1134]

Thanks for the informative video. For time-varying Cox model (2:32:50), do we still need to check PH assumption for the time-varying covariate? Thanks!

[@CanDoSo_org]

Thanks for the great tutorial. At 1:51:35, is the wt.loss also by the time of beginning the study (treatment), like the age variable? Thanks.

[@haraldurkarlsson1147]

This is a very informative presentation and clearly laid out. However, in terms of earthquakes I don't think it is safe to say that the hazard is constant. Hazard along the San Andreas fault should clearly vary depending on the region next to the fault (rock types vary, last time there was earthquake and so on).

[@SrijayaNandi]

Can you please suggest how to perform survival analysis for paired data for longitudinal studies.

[@dsin7322]

Thank you for a very informatic video. Is it possible to get the PPT.?

[@eugeniajiang768]

stats.oarc.ucla.edu/wp-content/uploads/2022/05/survival_r.html

[@andrewnguyen3312]

Great video thank you!

[@haraldurkarlsson1147]

I am not really seeing the difference between informative and formative censoring. I am also struggling with the comparison with NAs. NAs missing at random is easy to spot but not so sure about the censoring.

[@haraldurkarlsson1147]

The HR for wt.loss in the lung data has a p value in excess of 0.05. Thus it is not statistically significant.

[@simwaneh1685]

Thanks, is there a way to get the ppts including your r commands??

[@eddiev6600]

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