Efficient selection of controls for multi-centered collaborative studies of rare diseases

Graham A. Colditz, Anne Mctiernan, David B. Thomas, Anne Whitehead, Elizabeth Noonan

Research output: Contribution to journalArticle

7 Scopus citations

Abstract

An increasing number of epidemiologic studies of rare diseases are being conducted as collaborative ventures among several institutions in different geographic areas. Geographic area must be accounted for in the analysis, along with age and other potential confounders. This paper shows that it may not be possible to accurately predict the distribution of persons with rare diseases by age and geographic area. Therefore, selecting controls by matching on age group and geographic area is more efficient than selecting controls in all age and geographic area strata based on prior estimates of expected numbers of cases.

Original languageEnglish
Pages (from-to)901-904
Number of pages4
JournalAmerican journal of epidemiology
Volume123
Issue number5
DOIs
StatePublished - May 1986
Externally publishedYes

Keywords

  • Epidemiologic methods
  • Retrospective studies
  • Sampling studies

Fingerprint Dive into the research topics of 'Efficient selection of controls for multi-centered collaborative studies of rare diseases'. Together they form a unique fingerprint.

  • Cite this