psrwe_match: PS matching

In psrwe: PS-Integrated Methods for Incorporating RWE in Clinical Studies

PS matching

Description

Match patients in external data source with patients in current study based on PS using nearest neighbor method.

Usage

psrwe_match(
  dta_ps,
  ratio = 3,
  strata_covs = NULL,
  caliper = 1,
  seed = NULL,
  method = c("nnwor", "optm"),
  ...
)

Arguments

dta_ps	A list of class PSRWE_DAT that is generated using the psrwe_est function.
ratio	Matching ratio (RWD : Current) with default value 3 meaning 3:1 matching.
strata_covs	Stratification covariates for matching.
caliper	PS matching caliper width. Default 1. This specifies a width (euclidean distance) on the probability scale.
seed	Random seed.
method	matching algorithm for PS matching.
...	Additional parameters for matching

Value

A list of class PSRWE_DTA_MAT with items:

• dataOriginal data with column _ps_ for estimated PS scores, match_id for matched current study subject ID, and _strata_ for PS stratum added.

• ps_fmlPS formula for estimated PS scores.

• nstrataNumber of strata.

• ratioMatching ratio.

Examples

data(ex_dta)
dta_ps <- psrwe_est(ex_dta,
                     v_covs = paste("V", 1:7, sep = ""),
                     v_grp = "Group",
                     cur_grp_level = "current")
dta_ps_mat <- psrwe_match(dta_ps, ratio = 2, strata_covs = "V1",
                           seed = 123)
dta_ps_mat

## With optmatch
.remark_optmatch <- function() {
    warning("The optmatch package may restrict use (academic license).")
    dta_ps_opt <- psrwe_match(dta_ps, ratio = 2,
                               strata_covs = "V1",
                               method = "optm", seed = 123)
    dta_ps_opt
}
## Unmark below to run if optmatch is available.
# .remark_optmatch()

psrwe documentation built on March 18, 2022, 5:33 p.m.