Document Detail

A mixed-effects regression model for three-level ordinal response data.
MedLine Citation:
PMID:  16206246     Owner:  NLM     Status:  MEDLINE    
Three-level data occur frequently in behaviour and medical sciences. For example, in a multi-centre trial, subjects within a given site are randomly assigned to treatments and then studied over time. In this example, the repeated observations (level-1) are nested within subjects (level-2) who are nested within sites (level-3). Similarly, in twin studies, repeated measurements (level-1) are taken on each twin (level-2) within each twin pair (level-3). A three-level mixed-effects regression model is described here. Random effects at the second and third level are included in the model. Additionally, both proportional odds and non-proportional odds models are developed. The latter allows the effects of explanatory variables to vary across the cumulative logits of the model. A maximum marginal likelihood (MML) solution is described and Gauss-Hermite numerical quadrature is used to integrate over the distribution of random effects. The random effects are normally distributed in this instance. Features of this model are illustrated using data from a school-based smoking prevention trial and an Alzheimer's disease clinical trial.
Rema Raman; Donald Hedeker
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Publication Detail:
Type:  Comparative Study; Journal Article; Research Support, N.I.H., Extramural; Research Support, U.S. Gov't, P.H.S.    
Journal Detail:
Title:  Statistics in medicine     Volume:  24     ISSN:  0277-6715     ISO Abbreviation:  Stat Med     Publication Date:  2005 Nov 
Date Detail:
Created Date:  2005-10-13     Completed Date:  2006-01-13     Revised Date:  2007-11-15    
Medline Journal Info:
Nlm Unique ID:  8215016     Medline TA:  Stat Med     Country:  England    
Other Details:
Languages:  eng     Pagination:  3331-45     Citation Subset:  IM    
Division of Biostatistics, University of California at San Diego, La Jolla, CA 92093-0949, USA.
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MeSH Terms
Alzheimer Disease / drug therapy
Antipsychotic Agents / therapeutic use
Cluster Analysis*
Models, Statistical*
Multicenter Studies as Topic
Numerical Analysis, Computer-Assisted*
Randomized Controlled Trials as Topic
Regression Analysis*
Smoking / prevention & control
Grant Support
Reg. No./Substance:
0/Antipsychotic Agents

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

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