Institute of Mathematical Statistics Lecture Notes - Monograph Series

A representative sampling plan for auditing health insurance claims

Arthur Cohen, Joseph Naus

Abstract

A stratified sampling plan to audit health insurance claims is offered. The stratification is by dollar amount of the claim. The plan is representative in the sense that with high probability for each stratum, the difference in the average dollar amount of the claim in the sample and the average dollar amount in the population, is ``small.'' Several notions of ``small'' are presented. The plan then yields a relatively small total sample size with the property that the overall average dollar amount in the sample is close to the average dollar amount in the population. Three different estimators and corresponding lower confidence bounds for over (under) payments are studied.

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Primary Subjects: 60K35
Secondary Subjects: 60K35
Keywords: stratified sampling plan; dollar amount of claim; over (under) payments; unbiased estimator; separate ratio estimator; combined ratio estimator; lower confidence bound
Full-text: Open access
Links and Identifiers

Permanent link to this document: http://projecteuclid.org/euclid.lnms/1196794947
Digital Object Identifier: doi:10.1214/074921707000000094

2012 © Institute of Mathematical Statistics

Institute of Mathematical Statistics Lecture Notes - Monograph Series

Institute of Mathematical Statistics Lecture Notes - Monograph Series