Assessing artificial censoring weights for clone censor weighting studies: A simulation-based approach

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.

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.

Establishing Cox-based censoring weight estimation as the preferred approach provides Target RWE with a validated analytic standard, ensuring that CCW studies are built on methodologically sound foundations.

Censoring weight estimation validation for clone-censor-weight study design in pharma partner programs, Simulation-based methodological guidance for CCW implementation in complex treatment protocol analysis