Document Detail

A flexible approach to measurement error correction in case-control studies.
MedLine Citation:
PMID:  18325066     Owner:  NLM     Status:  MEDLINE    
We investigate the use of prospective likelihood methods to analyze retrospective case-control data where some of the covariates are measured with error. We show that prospective methods can be applied and the case-control sampling scheme can be ignored if one adequately models the distribution of the error-prone covariates in the case-control sampling scheme. Indeed, subject to this, the prospective likelihood methods result in consistent estimates and information standard errors are asymptotically correct. However, the distribution of such covariates is not the same in the population and under case-control sampling, dictating the need to model the distribution flexibly. In this article, we illustrate the general principle by modeling the distribution of the continuous error-prone covariates using the skewnormal distribution. The performance of the method is evaluated through simulation studies, which show satisfactory results in terms of bias and coverage. Finally, the method is applied to the analysis of two data sets which refer, respectively, to a cholesterol study and a study on breast cancer.
A Guolo
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Publication Detail:
Type:  Journal Article; Research Support, Non-U.S. Gov't     Date:  2008-03-03
Journal Detail:
Title:  Biometrics     Volume:  64     ISSN:  1541-0420     ISO Abbreviation:  Biometrics     Publication Date:  2008 Dec 
Date Detail:
Created Date:  2008-11-26     Completed Date:  2008-12-31     Revised Date:  2013-05-20    
Medline Journal Info:
Nlm Unique ID:  0370625     Medline TA:  Biometrics     Country:  United States    
Other Details:
Languages:  eng     Pagination:  1207-14     Citation Subset:  IM    
Department of Statistics, University of Padova, Padova, Italy.
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MeSH Terms
Breast Neoplasms
Case-Control Studies*
Likelihood Functions*
Reg. No./Substance:

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