Beta-binomial regression and bimodal utilization.

Abstract:

OBJECTIVE:To illustrate how the analysis of bimodal U-shaped distributed utilization can be modeled with beta-binomial regression, which is rarely used in health services research. DATA SOURCES/STUDY SETTING:Veterans Affairs (VA) administrative data and Medicare claims in 2001-2004 for 11,123 Medicare-eligible VA primary care users in 2000. STUDY DESIGN:We compared means and distributions of VA reliance (the proportion of all VA/Medicare primary care visits occurring in VA) predicted from beta-binomial, binomial, and ordinary least-squares (OLS) models. PRINCIPAL FINDINGS:Beta-binomial model fits the bimodal distribution of VA reliance better than binomial and OLS models due to the nondependence on normality and the greater flexibility in shape parameters. CONCLUSIONS:Increased awareness of beta-binomial regression may help analysts apply appropriate methods to outcomes with bimodal or U-shaped distributions.

journal_name

Health Serv Res

journal_title

Health services research

authors

Liu CF,Burgess JF Jr,Manning WG,Maciejewski ML

doi

10.1111/1475-6773.12055

subject

Has Abstract

pub_date

2013-10-01 00:00:00

pages

1769-78

issue

5

eissn

0017-9124

issn

1475-6773

journal_volume

48

pub_type

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