2 papers
stat.ME2025
Causal effect on the number of life years lost due to a specific event: Average treatment effect and variable importance
Simon Christoffer Ziersen, Torben Martinussen
Competing risk is a common phenomenon when dealing with time-to-event outcomes in biostatistical applications. An attractive estimand in this setting is the "number of life-years l…
stat.ME2024
Variable importance measures for heterogeneous treatment effects with survival outcome
Simon Christoffer Ziersen, Torben Martinussen
Treatment effect heterogeneity plays an important role in many areas of causal inference and within recent years, estimation of the conditional average treatment effect (CATE) has…