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Time-varying coefficients based on binary variables Understanding Time Varying Coefficients Based on Binary Variables Time varying coefficients are an essential concept in econometrics and statistics that allows 2 min read 14-09-2024 15
How to fit a time-varying cox model to my survival data with categorical variables using CoxTimeVaryingFitter from lifelines library in python Fitting a Time Varying Cox Model with Categorical Variables Using Lifelines in Python In the realm of survival analysis the Cox proportional hazards model is a 3 min read 14-09-2024 26
Surv function input - right,left or interval censored? In R Understanding Censored Data in Survival Analysis with R A Practical Guide Survival analysis is a powerful tool for studying the time until an event of interest 3 min read 05-09-2024 15
Assessing time dependent categorical variable in cox ph survival model Assessing Time Dependent Categorical Variables in Cox Proportional Hazards Models Understanding how categorical variables change their effect over time is cruci 3 min read 30-08-2024 19
Adding mortality rate (/1000 patients-years) + 95CI in a tbl_regression (gtsummary) from Cox regression mode? Adding Mortality Rate and 95 CI to gtsummary Tables from Cox Regression This article explores how to display mortality rate and its 95 confidence interval CI wi 3 min read 28-08-2024 12
Calibration curves from coxph() in R Calibration Curves from coxph in R Cox proportional hazards models Cox PH models are widely used in survival analysis to assess the effect of several variables 3 min read 28-08-2024 13