A Framework for Estimating Restricted Mean Survival Time Difference using Pseudo-observations

• URL: http://arxiv.org/abs/2601.06296v1
• Date: Fri, 09 Jan 2026 20:22:07 GMT
• Title: A Framework for Estimating Restricted Mean Survival Time Difference using Pseudo-observations
• Abstract summary: A targeted learning (TL) framework is developed to estimate the difference in the restricted mean survival time (RMST) for a clinical trial with time-to-event outcomes.<n>The framework is demonstrated using a real data application.
• Score: 0.2864713389096699
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: A targeted learning (TL) framework is developed to estimate the difference in the restricted mean survival time (RMST) for a clinical trial with time-to-event outcomes. The approach starts by defining the target estimand as the RMST difference between investigational and control treatments. Next, an efficient estimation method is introduced: a targeted minimum loss estimator (TMLE) utilizing pseudo-observations. Moreover, a version of the copy reference (CR) approach is developed to perform a sensitivity analysis for right-censoring. The proposed TL framework is demonstrated using a real data application.

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