Document Detail

A comparison of different matching designs in case-control studies: an empirical example using continuous exposures, continuous confounders and incidence of myocardial infarction.
MedLine Citation:
PMID:  8341869     Owner:  NLM     Status:  MEDLINE    
The paper presents a case-control study involving a disease, exposures and several continuous confounders. The relative efficiency and validity of a fully matched design is compared with random sampling of controls. We test a viable option of a partially matched design when inability to match all study subjects on all confounders occurs. The degree of bias in the odds ratios introduced by the different designs and by the different analytic models is assessed in comparison with the estimates obtained from a total cohort, from which both cases and controls were selected. Matched designs and analytic strategies are also evaluated in terms of the variances of the odds ratios. The results indicate that matching on continuous variables may lead to a more precise estimate of odds ratio than statistical control of confounding in unmatched designs. Partial selection of controls by matching may be a useful strategy when complete matching cannot be achieved; in practice, partial matching achieves most of the benefits of full matching.
Y Friedlander; D L Merom; J D Kark
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Publication Detail:
Type:  Comparative Study; Journal Article    
Journal Detail:
Title:  Statistics in medicine     Volume:  12     ISSN:  0277-6715     ISO Abbreviation:  Stat Med     Publication Date:  1993 Jun 
Date Detail:
Created Date:  1993-09-02     Completed Date:  1993-09-02     Revised Date:  2006-11-15    
Medline Journal Info:
Nlm Unique ID:  8215016     Medline TA:  Stat Med     Country:  ENGLAND    
Other Details:
Languages:  eng     Pagination:  993-1004     Citation Subset:  IM    
Department of Social Medicine, Hebrew University, Jerusalem, Israel.
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MeSH Terms
Age Factors
Blood Pressure
Case-Control Studies
Confounding Factors (Epidemiology)
Israel / epidemiology
Lipids / blood
Logistic Models
Myocardial Infarction / blood,  epidemiology*,  physiopathology
Odds Ratio
Prospective Studies
Research Design
Risk Factors
Reg. No./Substance:

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

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