r-surviv

Instrumental variable analysis methods for causal inference on survival data based on the Cox model allowing for various treatment and effect types, including orthogonality method-of-moments instrumental variable estimation for the Cox model, two-stage residual inclusion Cox estimation with frailty, sequential trial emulation, sequential Cox analyses, and sequential two-stage residual inclusion Cox analyses. Methodological background includes MacKenzie et al. (2014) <doi:10.1007/s10742-014-0117-x>, Martinez-Camblor et al. (2019) <doi:10.1093/biostatistics/kxx062>, Martinez-Camblor et al. (2019) <doi:10.1111/rssc.12341>, Gran et al. (2010) <doi:10.1002/sim.4048>, and Keogh et al. (2023) <doi:10.1002/sim.9718>.