Robins.CI: Asymptotic confidence interval for a treatment effect on a...

In RI2by2: Randomization Inference for Treatment Effects on a Binary Outcome

Asymptotic confidence interval for a treatment effect on a binary outcome

Description

Computes the Robins (1988) confidence interval for the average treatment effect on a binary outcome in an experiment where m of n individuals are randomized to treatment by design.

Usage

Robins.CI(data, level)

Arguments

data	observed 2 by 2 table in matrix form where row 1 is the treatment assignment Z=1 and column 1 is the binary outcome Y=1
level	significance level of hypothesis tests, i.e., method yields a 100(1-level)% confidence interval

Details

The Robins (1988) confidence interval is similar in form to the well known Wald confidence interval for a difference in proportions, but is guaranteed to have smaller width.

Value

tau.hat	estimated average treatment effect
lower	lower bound of confidence interval
upper	upper bound of confidence interval

Author(s)

Joseph Rigdon [e-mail]

References

Robins, J.M. (1988). Confidence intervals for causal parameters. Statistics in Medicine, 7(7), 773-785.

Examples

#Example 1 from Robins (1988)
ex = matrix(c(40,60,15,85),2,2,byrow=TRUE)
Robins.CI(ex,0.05)

RI2by2 documentation built on Nov. 11, 2023, 5:10 p.m.