cinhaz: Conduct partial and total R2-based sensitivity analysis

In dbasu-umass/bate: Computes Bias-Adjusted Treatment Effect

Conduct partial and total R2-based sensitivity analysis

Description

Conduct partial and total R2-based sensitivity analysis

Usage

cinhaz(kd, ky, data, outcome, treatment, bnch_reg, other_reg, alpha)

Arguments

kd	relative strength of the confounder in explaining variation in treatment as compared to benchmark covariate(s)
ky	relative strength of confounder in explaining variation in outcome as compared to benchmerk covariate(s)
data	data frame
outcome	outcome variable
treatment	treatment variable
bnch_reg	benchmark covariate(s)
other_reg	other covariates in the model (other than treatment and benchmark covariates)
alpha	significance level for hypothesis test (H0: true effect = 0)

Value

A data frame with results

Examples

## Load library
library(sensemakr)
## Conduct analysis
cinhaz(kd=1,ky=1,data=darfur,outcome = "peacefactor",
treatment = "directlyharmed", bnch_reg = "female",
other_reg = c("village","age","farmer_dar","herder_dar","pastvoted","hhsize_darfur"),
alpha=0.05)

dbasu-umass/bate documentation built on July 6, 2023, 9:56 a.m.