title: Statistical sampling in a legislative framework for peer review of medicare services.
abstract: This article discusses problems addressed in developing an efficient way of identifying levels of inappropriate professional practice in delivery of Medicare services, using statistical sampling within a legislative peer-review scheme. An efficient alternative to the current sampling methodology is proposed.
authors.forename: Robin
authors.initials: R
authors.lastname: Bell
authors.forename: Des
authors.initials: D
authors.lastname: Nicholls
mesh_terms: D001315:Australia; D003362:Cost-Benefit Analysis; D003627:Data Interpretation, Statistical; D006300:Health Services Misuse; D006801:Humans; D008485:Medical Audit / Q000331:legislation & jurisprudence* / Q000379:methods; D015233:Models, Statistical; D009313:National Health Programs / Q000191:economics / Q000592:standards* / Q000706:statistics & numerical data; D018024:Peer Review, Health Care / Q000331:legislation & jurisprudence* / Q000379:methods; D012494:Sampling Studies