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!
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).
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.
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!
Great video thank you!
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).
Can you please suggest how to perform survival analysis for paired data for longitudinal studies.
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.
The HR for wt.loss in the lung data has a p value in excess of 0.05. Thus it is not statistically significant.
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.
Thank you for a very informatic video. Is it possible to get the PPT.?
stats.oarc.ucla.edu/wp-content/uploads/2022/05/survival_r.html
Thanks, is there a way to get the ppts including your r commands??
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