Rolling Entry Matching
Add the balancing table to the final output
Create Additional Columns for the Matches Dataset
Run checks on variable lookback
Create a dataframe of comparisons between all treatment and control da...
Algorithm to find best matches from the comparison pool
Combine the results of rollmatch into a tidy list for output
Preprocessing Step to Rolling Entry Matching
Rolling entry matching
Run checks on variable inputs
Run checks on variable inputs
Create propensity scores using a logistic or probit regression model
Use a caliper to trim the data to only observations within threshold
Functions to perform propensity score matching on rolling entry interventions for which a suitable "entry" date is not observed for nonparticipants. For more details, please reference Witman et al. (2018) <doi:10.1111/1475-6773.13086>.