ABSTRACT Exact inference for odds-ratio tests and confidence intervals relies on sophisticated algorithms, typically found only in the specialize software. This tends to discourage the use of exact methods in… Click to show full abstract
ABSTRACT Exact inference for odds-ratio tests and confidence intervals relies on sophisticated algorithms, typically found only in the specialize software. This tends to discourage the use of exact methods in the analyses of 2 × 2 tables. We show that by first devolving each corresponding hypergeometric random variable into independent Bernoulli variates, simple and efficient algorithms emerge that are easily programmed in the commonly available software.
               
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