Document Detail

Treatment-patient interactions for diagnostics of cross-over trials.
MedLine Citation:
PMID:  9304766     Owner:  NLM     Status:  MEDLINE    
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.
J K Lindsey; B Jones
Related Documents :
19879376 - Bias analysis of the instrumental variable estimator as an estimator of the average cau...
18855776 - Evaluating statistics in clinical trials: making the unintelligible intelligible.
11718976 - Consensus evidence evaluation in resuscitation research: analysis of type i and type ii...
12941516 - Software to compute and conduct sequential bayesian phase i or ii dose-ranging clinical...
21314416 - Robinson's computerized strabismus model comes of age.
16204986 - Prediction of solvents suitable for crystallization of small organic molecules.
Publication Detail:
Type:  Journal Article    
Journal Detail:
Title:  Statistics in medicine     Volume:  16     ISSN:  0277-6715     ISO Abbreviation:  Stat Med     Publication Date:  1997 Sep 
Date Detail:
Created Date:  1997-11-20     Completed Date:  1997-11-20     Revised Date:  2007-11-15    
Medline Journal Info:
Nlm Unique ID:  8215016     Medline TA:  Stat Med     Country:  ENGLAND    
Other Details:
Languages:  eng     Pagination:  1955-64     Citation Subset:  IM    
Department of Medical Statistics, School of Computing Sciences, De Montfort University, Leicester, U.K.
Export Citation:
APA/MLA Format     Download EndNote     Download BibTex
MeSH Terms
Clinical Trials as Topic / statistics & numerical data*
Cross-Over Studies*
Likelihood Functions
Linear Models*
Normal Distribution
Poisson Distribution
Research Design

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine

Previous Document:  A graphical assessment of the potential impact of losses to follow-up on the validity of study resul...
Next Document:  Meta-analysis for the evaluation of potential surrogate markers.