Identifying Likely Duplicates by Record Linkage in a Survey of Prostitutes

Thomas R. Belin, Hemant Ishwaran, Naihua Duan, Sandra H. Berry, David E. Kanouse

Research output: Chapter in Book/Report/Conference proceedingChapter

1 Scopus citations
Original languageEnglish (US)
Title of host publicationApplied Bayesian Modeling and Causal Inference from Incomplete-Data Perspectives: An Essential Journey with Donald Rubin's Statistical Family
PublisherWiley Blackwell
Pages319-329
Number of pages11
ISBN (Electronic)9780470090459
ISBN (Print)047009043X, 9780470090435
DOIs
StatePublished - Jul 14 2005
Externally publishedYes

Keywords

  • Distance metric
  • Los Angeles Women's Health Risk Study (LAWHRS)
  • Mixture components estimation
  • Mixture-model framework
  • Potential systematic relationship
  • Probabilities of duplication
  • Testing framework

ASJC Scopus subject areas

  • Mathematics(all)

Cite this

Belin, T. R., Ishwaran, H., Duan, N., Berry, S. H., & Kanouse, D. E. (2005). Identifying Likely Duplicates by Record Linkage in a Survey of Prostitutes. In Applied Bayesian Modeling and Causal Inference from Incomplete-Data Perspectives: An Essential Journey with Donald Rubin's Statistical Family (pp. 319-329). Wiley Blackwell. https://doi.org/10.1002/0470090456.ch29