Stratification and Matching for Large Observational Data Sets
Auto Stratify
Build Autostrata object
Check inputs from auto_stratify
Check inputs to manual_stratify
Check inputs to any matching function
Check Outcome
Check Pilot set options
Check Prognostic Formula
Check Propensity Formula
Check Scores
Estimate Prognostic Scores
Extract cutoffs between strata
Extract cutoffs between strata
Fit Prognostic Model
Get Issues
Parse propensity input to obtain propensity scores
Checks auto_strata class
Checks manual_strata class
Checks strata class
Check if a vector is binary
Make Assignment-Control plot
Make strata table
Make histogram plot
Make Issue Table
Make match distances within strata
Make Residual Plot
Make sample data
Make Size-Ratio plot
Manual Stratify
New Autostrata
New Manual Strata
Pipe operator
Plot method for auto_strata object
Plot method for manual_strata object
Print Auto Strata
Print Manual Strata
Split data into pilot and analysis sets
Strata function from package Survival
Strata Match
Match without Stratification
stratamatch: stratify and match large data sets
Summary for strata object
Warn if continuous
A pilot matching design to automatically stratify and match large datasets. The manual_stratify() function allows users to manually stratify a dataset based on categorical variables of interest, while the auto_stratify() function does automatically by allocating a held-aside (pilot) data set, fitting a prognostic score (see Hansen (2008) <doi:10.1093/biomet/asn004>) on the pilot set, and stratifying the data set based on prognostic score quantiles. The strata_match() function then does optimal matching of the data set in parallel within strata.