Cecilia Cotton
A dynamic treatment regime is a rule or set of rules which define how a
subject’s treatment at time t depends on their evolving history of
time-dependent covariates. For observational data, survival under a
particular regime can be consistently estimated by artificially censoring
subjects when they break the regime and then weighting subjects by the
inverse probability of remaining uncensored. When comparing multiple regimes it may not be known at baseline which regime a subject is adherent to. I will present work in progress for comparing regimes by duplicating or “cloning” each individual in the dataset and following their adherence to each regime.
