I am very new to survival analysis. I am looking for differences between these two methods - Kaplan-Meier(K-M) vs. Cox Regression. KM Survival Analysis cannot use multiple predictors, …

Short note about time-dependent covariates In addition to fitting a stratified model, another typical way to remediate a violation of the proportional hazards assumption is to (1) convert the …

Nov 17, 2022 · The primary strength of the Fine-Gray model with respect to the Cox model approach is that if lifetime risk is a primary question, then the model has given us a simple and …

Jun 6, 2019 · 2 I am performing a multivariate Cox regression analysis, and would like to find what combination of those covariates best predict my outcome. Say I have a list of candidate genes …

I'm writing an essay containing a fair amount of statistical analysis including survival analysis (Kaplan-Meier, Log-Rank and Cox regression). I ran a Cox regression on my data trying to find …

Oct 29, 2015 · I get a couple of puzzling results in my (repeated event) cox model when I introduce interaction effects. I will here pose several questions about interaction effects (in …

Apr 8, 2021 · A simple question on the development of risk prediction models from Cox regressions. Suppose, as an example, that I want to create a risk score for 1-year mortality in …

Jan 28, 2021 · The same is true of Cox regressions, except that instead of an intercept you have a baseline hazard function, a function that represents survival as a function of time at …

I am doing a multivariate Cox regression, I have my significant independent variables and beta values. The model fits to my data very well. Now, I would like to use my model and predict the …

Nov 7, 2021 · Difference in stratification, interaction and subsetting Cox Survival Regression Ask Question Asked 4 years ago Modified 1 year, 11 months ago