Published by the Foundation for Open Access Statistics Editors-in-chief: Bettina Grün, Torsten Hothorn, Rebecca Killick, Edzer Pebesma, Achim Zeileis    ISSN 1548-7660; CODEN JSSOBK
Authors: James Myers, Shih-Feng Huang, Jhishen Tsay
Title: Exact Conditional Inference for Two-way Randomized Bernoulli Experiments
Abstract: Exact conditional inference for two-way randomized experiments with Bernoulli-distributed outcomes is a useful special case of exact logistic regression, but unlike the general case, it is trivial to compute. We present an R function which can easily be translated into any other language, making this type of analysis more readily accessible.

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Paper: Exact Conditional Inference for Two-way Randomized Bernoulli Experiments     Download PDF (Downloads: 4068)
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DOI: 10.18637/jss.v021.c01

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Paper: Creative Commons Attribution 3.0 Unported License
Code: GNU General Public License (at least one of version 2 or version 3) or a GPL-compatible license.