reportCovariates: Calculate the rebalanced covariates

In maic: Matching-Adjusted Indirect Comparison

Calculate the rebalanced covariates

Description

This function calculates the raw, target and achieved covariates given a set of weights. Note that for mean values, bootstrapped standard errors are used and so downstream values (such as p-values for difference) may differ from run to run if the random number stream is not consistent

Usage

reportCovariates(
  index,
  target,
  dictionary,
  matching.variables,
  weights,
  tidy = TRUE,
  var.method = c("ML", "unbiased")
)

Arguments

index	A matrix or data.frame containing patient-level data
target	A list containing target summary data
dictionary	A data frame containing the columns "match.id", "target.variable", "index.variable" and "match.type"
matching.variables	A character vector indicating the match.id to use
weights	A numeric vector with weights corresponding to the index data rows
tidy	A boolean - return as a data frame (otherwise list)
var.method	Estimator type passed through to wtd.var. Defaults to ML, as Bessel's correction not used in weights generation.

Value

An object of class maic.covariates

Examples

target <- c("Air.Flow" = 60,
           "Water.Temp" = 21,
           "Prop.Acid.Conc.LT.90" = 0.7,
           "min.air.flow" = 55)

stackloss$match.conc.lt.90 <- 
  ifelse(stackloss$Acid.Conc. < 90, 1, 0)

dict <- data.frame(
  "match.id" = 
    c("airflow", "watertemp", 
      "acidconc", "min.airflow"),
  "target.variable" = 
    c("Air.Flow", "Water.Temp",
      "Prop.Acid.Conc.LT.90", "min.air.flow"),
  "index.variable" = 
    c("Air.Flow", "Water.Temp",
      "match.conc.lt.90", "Air.Flow"),
  "match.type" = 
    c("mean", "mean", "proportion", "min"),
  stringsAsFactors = FALSE)

ipmat <- createMAICInput(
  index = stackloss,
  target = target,
  dictionary = dict,
  matching.variables = 
    c("airflow", "watertemp", 
      "acidconc", "min.airflow"))

wts <- maicWeight(ipmat)

rcv <- reportCovariates(
  stackloss, target, dict, 
  matching.variables = 
    c("airflow", "watertemp", 
      "acidconc", "min.airflow"),
  wts)

maic documentation built on April 27, 2022, 5:07 p.m.