| Treatment-patient interactions for diagnostics of cross-over trials. | |
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MedLine Citation:
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PMID: 9304766 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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In cross-over trials, various types of responses may be recorded, not all of which can be appropriately modelled by a Normal distribution. Widening the class of models to the generalized linear model family has a number of advantages. An important one is that certain interactions, especially that between patients and treatments, can easily be fitted for frequency and count data. These can be used as diagnostics for the fit of the model used. One handicap has been the frequentist difficulty of comparing the fit of different non-nested models in this family. This can be overcome by the use of a model selection criterion such as the Akaike or Bayesian information criterion. This approach to modelling and diagnostics for cross-over trials is applied to two studies involving small counts of anginal attacks, previously analysed in the literature using classical Normal techniques. |
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Authors:
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J K Lindsey; B Jones |
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Publication Detail:
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Type: Journal Article |
Journal Detail:
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Title: Statistics in medicine Volume: 16 ISSN: 0277-6715 ISO Abbreviation: Stat Med Publication Date: 1997 Sep |
Date Detail:
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Created Date: 1997-11-20 Completed Date: 1997-11-20 Revised Date: 2007-11-15 |
Medline Journal Info:
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Nlm Unique ID: 8215016 Medline TA: Stat Med Country: ENGLAND |
Other Details:
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Languages: eng Pagination: 1955-64 Citation Subset: IM |
Affiliation:
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Department of Medical Statistics, School of Computing Sciences, De Montfort University, Leicester, U.K. |
Export Citation:
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| MeSH Terms | |
Descriptor/Qualifier:
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Clinical Trials as Topic
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statistics & numerical data* Cross-Over Studies* Humans Likelihood Functions Linear Models* Normal Distribution Poisson Distribution Research Design |
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