Bayesian modeling of continuous diagnostic test data: sample size and Polya trees
Parametric models such as the bi-normal have been widely used to analyse datafrom imperfect continuous diagnostic tests. Such models rely on assumptions thatmay often be unrealistic and/or unveri_able, and in such cases nonparametric modelspresent an attractive alternative. Further, even when normal...
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| Format: | Others |
| Language: | en |
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McGill University
2012
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| Online Access: | http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=107833 |