Estimating correlations from epidemiological data in the presence of measurement error.

Published

Journal Article

Analysis of a major multi-site epidemiologic study of heart disease has required estimation of the pairwise correlation of several measurements across subpopulations. Because the measurements from each subpopulation were subject to sampling variability, the Pearson product moment estimator of these correlations produces biased estimates. This paper proposes a model that takes into account within and between sub-population variation, provides algorithms for obtaining maximum likelihood estimates of these correlations and discusses several approaches for obtaining interval estimates.

Full Text

Cited Authors

  • Dear, KB; Puterman, ML; Dobson, AJ

Published Date

  • October 1997

Published In

Volume / Issue

  • 16 / 19

Start / End Page

  • 2177 - 2189

PubMed ID

  • 9330427

Pubmed Central ID

  • 9330427

Electronic International Standard Serial Number (EISSN)

  • 1097-0258

International Standard Serial Number (ISSN)

  • 0277-6715

Digital Object Identifier (DOI)

  • 10.1002/(sici)1097-0258(19971015)16:19<2177::aid-sim646>3.0.co;2-n

Language

  • eng