Exact Conditional Inference for Two-way Randomized Bernoulli Experiments

James Myers, Shih-Feng Huang and Jhishen Tsay

Journal of Statistical Software, 2007, vol. 021, issue c01

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.

Date: 2007-09-02
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Persistent link: https://EconPapers.repec.org/RePEc:jss:jstsof:v:021:c01

DOI: 10.18637/jss.v021.c01

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