Assessing artificial censoring weights for clone censor weighting studies: A simulation-based approach.
Assessing artificial censoring weights for clone censor weighting studies: A simulation-based approach
Challenge
Clone-censor-weight studies require estimation of artificial censoring weights, but no simulation-based framework existed for evaluating the performance of different censoring weight estimation approaches.
Solution
Target RWE biostatisticians developed a simulation framework to assess artificial censoring weight estimation methods for CCW studies, demonstrating that Cox proportional hazards-based estimation substantially outperforms logistic regression.