Skip to contents

Weight-quality diagnostics for a cMAIC fit

Source: R/cmaic.R
weight_diagnostics.Rd

Per IPD study, the effective sample size, weight-entropy efficiency, coefficient of variation, largest normalized weight, mass in the top 5% of weights, and the largest residual effect-modifier imbalance after weighting. A high maximum weight or low entropy efficiency signals a few dominant individuals, which the effective sample size alone can hide.

Usage

weight_diagnostics(object)

Arguments

object

A cmaic() fit.

Value

A data frame, one row per IPD study.

See also

cmaic(), effective_sample_size()