apply_logics            Apply case_when logics (e.g. policy, censoring)
                        to clones
clone_arms              Duplicate data frame for each treatment arm to
                        emulate
create_censoring_logics_A
                        Generate censoring logic for scenario A
create_final_data       Create training data for censoring probability
                        estimation
create_policy_A         Generate clone policy for scenario A
emul_estimate           Estimate the emulated trial effect
emul_estimate_bootstrap
                        Bootstrap a complete clone-censor-weight
                        analysis
estimate_censoring      Estimate censoring probabilities
lungcancer              Simulated lung cancer patients data by Maringe
                        et al. (2020)
make_surv_response      Construct a survival response
patients13              13 types of patient records in Maringe et al.
                        (2020)
read_trial_data         Read trial-style data from CSV
weight_cases            Add inverse probability of censoring weights
