Exact tests of goodness of fit for log-linear models for rates
McDonald, John W., Smith, Peter W.F. and Forster, Jonathan J. (1999) Exact tests of goodness of fit for log-linear models for rates. Biometrics, 55, (2), 620-624. (doi:10.1111/j.0006-341X.1999.00620.x).
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We propose Metropolis–Hastings sampling methods for estimating the exact conditional p-value for tests of goodness of fit of log-linear models for mortality rates and standardized mortality ratios. We focus on two-way tables, where the required conditional distribution is a multivariate noncentral hypergeometric distribution with known noncentrality parameter. Two examples are presented: a 2 × 3 table, where the exact results, obtained by enumeration, are available for comparison, and a 9 × 7 table, where Monte Carlo methods provide the only feasible approach for exact inference.
|Subjects:||Q Science > QA Mathematics|
|Divisions:||University Structure - Pre August 2011 > School of Mathematics > Statistics
|Date Deposited:||19 Mar 2007|
|Last Modified:||01 Jun 2011 04:20|
|Contributors:||McDonald, John W. (Author)
Smith, Peter W.F. (Author)
Forster, Jonathan J. (Author)
|Contact Email Address:||firstname.lastname@example.org|
|RDF:||RDF+N-Triples, RDF+N3, RDF+XML, Browse.|
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