n Annual Proceedings of the South African Statistical Association Conference - Maximum likelihood estimation in models for binary cross-over studies

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A maximum likelihood (ML) estimation procedure is presented for the expected frequencies when modelling binary data from two-period cross-over studies. This procedure provides a simple approach to parameter estimation in models for binary crossover experiments, and in particular for a log-nonlinear model proposed by Becker & Balagtas (1993).

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