aihuman (version 1.0.0)

compute_stats_agreement: Agreement of Human and AI Decision Makers

Description

Estimate the impact of AI recommendations on the agreement between human decisions and AI recommendations using a difference-in-means estimator of an indicator \(1\{D_i = A_i\}\).

Usage

compute_stats_agreement(Y, D, Z, A, X = NULL)

Value

A tibble with the following columns:

• X: Pretreatment covariate (if provided).

• agree_diff: Difference in agreement between human decisions and AI recommendations.

• agree_diff_se: Standard error of the difference in agreement.

Arguments

Y

An observed outcome (binary: numeric vector of 0 or 1).

D

An observed decision (binary: numeric vector of 0 or 1).

Z

A treatment indicator (binary: numeric vector of 0 or 1).

A

An AI recommendation (binary: numeric vector of 0 or 1).

X

Pretreatment covariate used for subgroup analysis (vector). Must be the same length as Y, D, Z, and A if provided. Default is NULL.

Examples

compute_stats_agreement(
  Y = NCAdata$Y,
  D = ifelse(NCAdata$D == 0, 0, 1),
  Z = NCAdata$Z,
  A = PSAdata$DMF
)