title: Probabilistic population estimation of the size and overlap of data sets based on date of birth.
abstract: Probabilistic population estimation is a statistical procedure for deriving unduplicated counts of the number of people represented in data sets that do not include unique person identifiers and the number of people shared by data sets that do not share personal identifiers. Because the procedure relies on anonymous data sets, the personal privacy of individuals and the confidentiality of medical records is protected. This paper describes the mathematics of probabilistic population estimation, and applies the procedure to an important contemporary public policy issue.
authors.affiliation: The Bristol Observatory, 521 Hewitt Road, Bristol, VT 05443, USA. bristob@together.net
authors.forename: S M
authors.initials: SM
authors.lastname: Banks
authors.forename: J A
authors.initials: JA
authors.lastname: Pandiani
mesh_terms: D000367:Age Factors; D003198:Computer Simulation; D003219:Confidentiality; D003627:Data Interpretation, Statistical; D016208:Databases, Factual; D005260:Female; D006801:Humans; D008297:Male; D008954:Models, Biological; D015233:Models, Statistical; D011157:Population Dynamics; D011640:Public Policy