Augmented two-stage estimation for treatment crossover in oncology trials: Leveraging external data for improved precision
肿瘤试验处理交叉的增强两阶段估计:利用外部数据提高精度
Randomized controlled trials (RCTs) in oncology often allow control group participants to crossover to experimental treatments, a practice that, while often ethically necessary, complicates the accurate estimation of long-term treatment effects. When crossover rates are high or sample sizes are limited, commonly used methods for crossover adjustment (such as the rank-preserving structural failure time model, inverse probability of censoring weights, and two-stage estimation…