  Restricted mean survival time (RMST) models have gained popularity when
analyzing time-to-event outcomes because RMST models offer more straightforward
interpretations of treatment effects with fewer assumptions than hazard ratios
commonly estimated from Cox models. However, few network meta-analysis (NMA)
methods have been developed using RMST. In this paper, we propose advanced RMST
NMA models when individual participant data are available. Our models allow us
to study treatment effect moderation and provide comprehensive understanding
about comparative effectiveness of treatments and subgroup effects. An
extensive simulation study and a real data example about treatments for
patients with atrial fibrillation are presented.
