Document Detail


A more flexible regression-to-the-mean model with possible stratification.
MedLine Citation:
PMID:  9750243     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
We consider a regression-to-the-mean model that includes both additive and multiplicative treatment effects. We allow either or both of these treatment effects to be stratified by ranges of the first measurement. We focus on the situation where there is a very large sample on the first measurement and a relatively small subsample for the second measurement is selected, which often occurs in screening trials. We propose some asymptotically efficient estimators for the parameters of the model that are very simple to compute. We begin with a discussion of the full model, and more on tests and estimation for reduced models follows. An example from a large screening trial is discussed.
Authors:
S Chen; C Cox; L Cui
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Publication Detail:
Type:  Journal Article    
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:  939-47     Citation Subset:  IM    
Affiliation:
Department of Preventive Medicine, Rush-Presbytrian-St. Luke's Medical Center, Chicago, Illinois 60612-3824, USA. schen@bstat.pvm.rpslmc.edu
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MeSH Terms
Descriptor/Qualifier:
Biometry / methods*
Clinical Trials as Topic / statistics & numerical data
Humans
Hypercholesterolemia / blood,  therapy
Mass Screening / statistics & numerical data
Models, Statistical*
Regression Analysis*

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