Assess Propensity Score Overlap — assess_overlap • kernR

Diagnoses overlap (positivity) between treated and control groups by summarising the propensity score distributions.

Usage

assess_overlap(propensity, treatment = NULL)

Arguments

propensity: A propensity_fit object or a numeric vector of scores.
treatment: Binary treatment vector. Required if propensity is a numeric vector.

Value

A list of class "overlap_diagnostic" with:

treated: Summary statistics of propensity scores for treated.
control: Summary statistics for controls.
overlap_warning: Logical. TRUE if overlap is poor.

See also

Other density ratio and propensity: effective_sample_size(), estimate_density_ratio(), estimate_propensity(), fit_density_ratio(), plot_weights(), predict_density_ratio()

Examples

set.seed(1L)
n <- 200L
treatment <- rbinom(n, 1L, 0.5)
scores <- plogis(rnorm(n) + 0.6 * treatment)
assess_overlap(scores, treatment)
#> Propensity Score Overlap Diagnostic
#> 
#> Treated:   min = 0.141, q25 = 0.484, median = 0.627, q75 = 0.780, max = 0.914 
#> Control:   min = 0.053, q25 = 0.368, median = 0.482, q75 = 0.651, max = 0.934 
#> Overlap:   87.7 %