Estimating treatment effects when all stratification errors are discovered
To compare the performance of different methods of adjusting for stratification variables when all stratification errors are discovered, outcomes were generated from model (1) with Using no additional covariates (unadjusted analysis),a main effect for a main effect for While adjusting for both Letting bias in the parameter estimate empirical standard error model‐based standard error relative percent error in the model‐based standard error coverage (the percentage of 95% confidence intervals for type I error/power (the percentage of tests of Monte Carlo standard errors were calculated for each performance measure based on equations presented elsewhere.