A maximum likelihood estimation procedure for binary data from cross-over studies
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Date
Authors
Matthews, G.B. (Glenda Beverley)
Crowther, N.A.S. (Nicolaas Andries Sadie), 1944-
Journal Title
Journal ISSN
Volume Title
Publisher
South African Statistical Association
Abstract
A maximum likelihood 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 data from cross-over experiments, and in particular for a
log-nonlinear model proposed by Becker and Balagtas (1993).
Description
Keywords
Binary cross-over design, Constraints, Log-nonlinear models
Sustainable Development Goals
Citation
Matthews, GB & Crowther, NAS 2011, 'A maximum likelihood estimation procedure for binary data from cross-over studies', South African Statistical Journal, vol. 45, no. 2, pp. 231–248.