What is Fisher's exact test? Fisher’s exact test is a statistical hypothesis test used to assess the association between two binary variables in a contingency table and is particularly useful when ...

The classical chi-square test for independence in a two-way contingency table often rejects the independence hypothesis at an extremely small significance level, particularly when the sample size is ...

Log-linear modelling plays an important role in many statistical applications, particularly in the analysis of contingency table data. With the advent of powerful new computational techniques such as ...

Different approaches exist for compensating for probabilistic linkage error when analysing a two-way contingency table for categorical data, where one variable is ...