Exact Conditional Inference for Two-way Randomized Bernoulli Experiments

James Myers, Shih-Feng Huang, Jhishen Tsay

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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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