Title

More Efficient Unconditional Tests for Exchangeable Binary Data with Equal Cluster Sizes

Document Type

Article

Abstract

We consider exact unconditional procedures for testing independence of exchangeable binary data with equal-sized clusters. The approximate unconditional approach is recommended as a basic procedure. The exact unconditional procedure based on estimation followed by maximization is recommended for the small number of clusters.

Disciplines

Clinical Trials | Medicine and Health Sciences | Statistical Methodology | Statistics and Probability | Vital and Health Statistics

Permissions

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