Document Server@UHasselt >
Research >
Research publications >

Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/5353

Title: Treatment-patient interactions for diagnostics of crossover trials
Authors: LINDSEY, James
Jones, Bradley
Issue Date: 1997
Publisher: John Wiley & Sons, Ltd.
Citation: Statistics in medicine, 16(17). p. 1955-1964
Abstract: 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.
URI: http://hdl.handle.net/1942/5353
DOI: 10.1002/(SICI)1097-0258(19970915)16:17<1955::AID-SIM626>3.0.CO;2-6
Type: Journal Contribution
Appears in Collections: Research publications

Files in This Item:

There are no files associated with this item.

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.