An R-Package to estimate and plot confounder-adjusted survival curves (single event survival data) and confounder-adjusted cumulative incidence functions (data with competing risks) using various methods.
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Updated
Jul 22, 2024 - R
An R-Package to estimate and plot confounder-adjusted survival curves (single event survival data) and confounder-adjusted cumulative incidence functions (data with competing risks) using various methods.
The most comprehensive Python package for evaluating survival analysis models.
survival curves in ggplot2
Simple library to help calculate and graph survival curves.
Final Project for PHST 683 for M.S. Biostatistics at University of Louisville (Survival Analysis)
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