Document Detail

Estimating a treatment effect from multidimensional longitudinal data.
MedLine Citation:
PMID:  9750246     Owner:  NLM     Status:  MEDLINE    
Multidimensional longitudinal data result when researchers measure an outcome through time that is quantified by many different response variables. These response variables are often defined on different numerical scales. The objective of this paper is to present a method to summarize and estimate an overall treatment effect from this type of longitudinal data. A regression model is proposed that assumes the treatment effect can be parameterized as an acceleration or deceleration of the time scale of each response variable's trajectory. Generalized estimating equations are used to estimate the model parameters. Cognitive and functional ability data from Alzheimer's disease patients and quality of life data from an AIDS clinical trial are used to illustrate the model.
S M Gray; R Brookmeyer
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Publication Detail:
Type:  Journal Article; Research Support, U.S. Gov't, P.H.S.    
Journal Detail:
Title:  Biometrics     Volume:  54     ISSN:  0006-341X     ISO Abbreviation:  Biometrics     Publication Date:  1998 Sep 
Date Detail:
Created Date:  1998-11-03     Completed Date:  1998-11-03     Revised Date:  2007-11-15    
Medline Journal Info:
Nlm Unique ID:  0370625     Medline TA:  Biometrics     Country:  UNITED STATES    
Other Details:
Languages:  eng     Pagination:  976-88     Citation Subset:  IM; X    
Department of Biostatistics, Johns Hopkins University, School of Hygiene and Public Health, Baltimore, Maryland 21205, USA.
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MeSH Terms
Acquired Immunodeficiency Syndrome / psychology,  therapy
Alzheimer Disease / genetics,  physiopathology,  psychology
Apolipoproteins E / genetics
Biometry / methods*
Clinical Trials as Topic / statistics & numerical data
Data Interpretation, Statistical*
Longitudinal Studies*
Models, Statistical
Quality of Life
Regression Analysis
Treatment Outcome*
Grant Support
Reg. No./Substance:
0/Apolipoproteins E

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