AssignOutcomeBin: Assign binary outcome based on covariates and treatment

In kaz-yos/distributed: Examine Privacy Preserving Data Analysis Methods in Simulated Distributed Data Network

Description

A binary outcome is assigned as a Bernoulli(p_i) random variable where p_i is an individual-specific outcome probability calculated from covariate and treatment values and coefficients.

Usage

AssignOutcomeBin(dfXA, beta0, betaX, betaA, betaXA)

Arguments

dfXA	data frame including covariates and treatment assingment A
beta0	scalar value coeffcient for the intercept
betaX	vector specifying true coefficients for covariates
betaA	scalar value for treatment effect
betaXA	vector specifying true coefficients for covariates-treatment interaction. The vector must be the same length as betaX.

Value

data frame with additional counterfactual and observed variables related to the outcome.

Author(s)

Kazuki Yoshida

kaz-yos/distributed documentation built on May 27, 2019, 4:50 a.m.