Calculate covariate effect size differences before and after stratification.

Description

This function is modified from the cv.bal.psa function in the PSAgrpahics package.

Usage

1
2
3
4
covariateBalance(covariates, treatment, propensity, strata = NULL,
  int = NULL, tree = FALSE, minsize = 2, universal.psd = TRUE,
  trM = 0, absolute.es = TRUE, trt.value = NULL, use.trt.var = FALSE,
  verbose = FALSE, xlim = NULL, plot.strata = TRUE, na.rm = TRUE, ...)

Arguments

covariates

dataframe of interest

treatment

binary vector of 0s and 1s (necessarily? what if character, or 1, 2?)

propensity

PS scores from some method or other.

strata

either a vector of strata number for each row of covariate, or one number n in which case it is attempted to group rows by ps scores into n strata of size approximately 1/n. This does not seem to work well in the case of few specific propensity values, as from a tree.

int

either a number m used to divide [0,1] into m equal length subintervals, or a vector of cut points between 0 an 1 defining the subintervals (perhaps as suggested by loess.psa). In either case these subintervals define strata, so strata can be of any size.

tree

logical, if unique ps scores are few, as from a recursively partitioned tree, then TRUE will force each ps value to define a stratum.

minsize

smallest allowable stratum-treatment size. If violated, strata is removed.

universal.psd

If 'TRUE', forces standard deviations used to be unadjusted for stratification.

trM

trimming proportion for mean calculations.

absolute.es

logical, if 'TRUE' routine uses absolute values of all effect sizes.

trt.value

allows user to specify which value is active treatment, if desired.

use.trt.var

logical, if true then Rubin-Stuart method using only treatment variance with be used in effect size calculations.

verbose

logical, controls output that is visibly returned.

xlim

limits for the x-axis.

plot.strata

logical indicating whether to print strata.

na.rm

should missing values be removed.

...

currently unused.

Details

Note: effect sizes are calculated as treatment 1 - treatment 0, or treatment B - treatment A.

Author(s)

Robert M. Pruzek RMPruzek@yahoo.com

James E. Helmreich James.Helmreich@Marist.edu

KuangNan Xiong harryxkn@yahoo.com

Jason Bryer jason@bryer.org

Want to suggest features or report bugs for rdrr.io? Use the GitHub issue tracker.