I'd like to plot adjusted survival curves from a Cox model at specific covariate values. The survfit function in the survival package and ggsurvplot in survmine
I would like to fit a Cox model for prediction of 1-year survival using a specific set of predictors. The data contains 78 events in 620 subjects. I don't think
I am currently struggling with the following problem in R: I would like to use a Cox model with time-varying variables to perform my variable selection via boos
I'm using the survminer package to try to generate survival and hazard function graphs for a longitudinal student-level dataset that has 5 subgroups of interest