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Estimating Physician Costliness

An Empirical Bayes Approach

Bibliographic Data

ID9099427
AuthorsMichael E Miller (0000-0003-1144-9711, Cancer Research And Biostatistics, corresponding author), Siu L Hui (Cancer Research And Biostatistics, corresponding author), William M Tierney (0000-0002-3379-3014, Regenstrief Institute, corresponding author), Clement J Mcdonald (0000-0002-0514-9539, Regenstrief Institute, corresponding author)
Year1993
Volume31
Issuesupplement
PagesYS16-YS28
Publication date1993-05-01
Peer ReviewedYes
Open AccessNo
TypeARTICLE
VenueMedical Care (JOURNAL)
Journal identifiersISSN: 0025-7079 • E-ISSN: 1537-1948
PublisherOvid Technologies (Wolters Kluwer Health) (PUBLISHER)
DOI10.1097/00005650-199305001-00004
PMID8492581
OpenAlexW2045210782
LanguageEN
Citations received2
References cited11

Outpatient data obtained from the general medicine practice of an urban, health care facility are used to provide an application of empirical Bayes techniques in the estimation of physician "costliness." The results illustrate that application of the simplest empirical Bayes estimation procedure can provide more reasonable estimates of physician's utilization of resources than a standard estimation procedure. Empirical Bayes estimates are shown to adjust for potential instability in standard estimates that may arise from either a physician treating a small number of patients or an inappropriate case-mix adjustment. Using simulation, it is demonstrated that the empirical Bayes procedure can provide overall better estimates using fewer data than the standard procedure. This application, although somewhat limited in scope, should provide impetus for increased utilization of the numerous Bayesian and empirical Bayes techniques that currently exist in the statistical literature and pertain to small area estimation techniques

Bayes estimator · Bayes' theorem · Bayesian probability · Econometrics · Economics · Empirical research · Estimation · Health care · Small area estimation · Statistics · Computer Science · Healthcare Policy and Management · Mathematics · Statistical Methods and Bayesian Inference · Statistical Methods and Inference

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Unique citing works2
Citations per year0,08
Citation span2000 - 2002 (3)
Citation velocityhistorical
Highly citedNo
Citation typesNeutral: 2

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