Exploring causal effects of hormone- and radio-treatments in an observational study of breast cancer using copula-based semi-competing risks models
以 Copula 半竞争风险模型研究乳腺癌激素治疗与放疗的因果效应
Breast cancer patients may experience relapse or death after surgery during the follow-up period, leading to dependent censoring of relapse. This phenomenon, known as semi-competing risk, imposes challenges in analyzing treatment effects on breast cancer and necessitates advanced statistical tools for unbiased analysis. Despite progress in estimation and inference within semi-competing risks regression, its application to causal inference is still in its early stages. This…