R package that facilitates performing matching-adjusted indirect comparison (MAIC) anaylsis for a disconnected treatment network where the endpoint of interest is either time-to-event (e.g. overall survival) or binary (e.g. objective tumor response).
Currently MAIC package only supports analysis for hazard ratios and odds ratios, but no functions exist to analyze difference in means nor rate ratios (for repeated events per patient e.g. events per patient year of exposure).
Propose to create boostrap_rate and bootstrap_mean functions to extend use (Roche internal examples available)