RI2by2

Randomization Inference for Treatment Effects on a Binary Outcome

Last update: 11 November 2023

Copyright license: GNU General Public License

Software version identifier: 1.3, 1.0, 1.1, 1.2, 1.4

Description

Computes attributable effects based confidence interval, permutation test confidence interval, or asymptotic confidence interval for the average treatment effect on a binary outcome. Methods outlined in further detail in Rigdon and Hudgens (2015) <doi:10.1002/sim.6384>.

Cites work

Randomization inference for treatment effects on a binary outcome

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