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Research article summary (published 30 Aug 1998):

A more flexible regression-to-the-mean model with possible stratification.

Full Abstract

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.

 

Author information

Author/s: Chen, S (S); Cox, C (C); Cui, L (L);

Affiliation: Department of Preventive Medicine, Rush-Presbytrian-St. Luke's Medical Center, Chicago, Illinois 60612-3824, USA. schen(-atsign-)bstat.pvm.rpslmc.edu

Journal and publication information

Publication Type: Journal Article

Journal: Biometrics (Biometrics), published in UNITED STATES. (Language: eng)

Reference: 1998-Sep; vol 54 (issue 3) : pp 939-47

Dates: Created 1998/11/03; Completed 1998/11/03; Revised 2007/11/15;

PMID: 9750243, status: MEDLINE (last retrieval date: 2/18/2009, IMS Date: )

Sourced from the National Library of Medicine. Abstract text and other information may be subject to copyright.

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