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Restricted mean survival time (RMST) models have gained popularity whenanalyzing time-to-event outcomes because RMST models offer more straightforwardinterpretations of treatment effects with fewer assumptions than hazard ratioscommonly estimated from Cox models. However, few network meta-analysis (NMA)methods have been developed using RMST. In this paper, we propose advanced RMSTNMA models when individual participant data are available. Our models allow usto study treatment effect moderation and provide comprehensive understandingabout comparative effectiveness of treatments and subgroup effects. Anextensive simulation study and a real data example about treatments forpatients with atrial fibrillation are presented.

Network Meta-Analysis of Time-to-Event Endpoints with Individual Participant Data using Restricted Mean Survival Time Regression