Clone-Censor-Weight Methods for Target Trial Emulation


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Documentation for package ‘ccwr’ version 0.0.2

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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