Irregular measurement times in estimating time-varying treatment effects: Categorizing biases and comparing adjustment methods
时变处理效应估计中的不规则测量时点：偏差分类与调整方法比较
To estimate the causal effect of treatments that vary over time from observational data, one must adjust for time-varying confounding. A common procedure to address confounding is the use of inverse probability of treatment weighting methods. However, the timing of covariate measurements is often irregular, which may introduce additional confounding bias as well as selection bias into the causal effect estimate. Two reweighting methods have been proposed to adjust for these…