get_bias: Computes effects on estimate, standard error and t-value...

In statsccpr/sensemakr:

Description

These functions compute the bias caused by an unobserved confounder with a specific pair of partial R2 with the treatment and with the outcome. with certain characteristics.

Usage

get_bias(se, df, r2y, r2d)

get_se(se, df, r2y, r2d)

get_t(t, df, r2y, r2d, reduce = TRUE)

Arguments

se	standard error of original treatment effect estimate
df	degrees of freedom of the original linear model
r2y	hypothetical partial R2 of the confounder with the outcome
r2d	hypothetical partial R2 of the confounder with the treatment
...	extra arguments

statsccpr/sensemakr documentation built on May 30, 2019, 10:41 a.m.