Methods for analyzing health care utilization and costs

P. Diehr; D. Yanez; A. Ash; M. Hornbrook; D. Y. Lin

doi:10.1146/annurev.publhealth.20.1.125

Methods for analyzing health care utilization and costs

P. Diehr, D. Yanez, A. Ash, M. Hornbrook, D. Y. Lin

Research output: Contribution to journal › Review article › peer-review

519 Scopus citations

Abstract

Important questions about health care are often addressed by studying health care utilization. Utilization data have several characteristics that make them a challenge to analyze. In this paper we discuss sources of information, the statistical properties of utilization data, common analytic methods including the two-part model, and some newly available statistical methods including the generalized linear model. We also address issues of study design and new methods for dealing with censored data. Examples are presented.

Original language	English (US)
Pages (from-to)	125-144
Number of pages	20
Journal	Annual Review of Public Health
Volume	20
DOIs	https://doi.org/10.1146/annurev.publhealth.20.1.125
State	Published - 1999
Externally published	Yes

ASJC Scopus subject areas

Public Health, Environmental and Occupational Health

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10.1146/annurev.publhealth.20.1.125

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title = "Methods for analyzing health care utilization and costs",

abstract = "Important questions about health care are often addressed by studying health care utilization. Utilization data have several characteristics that make them a challenge to analyze. In this paper we discuss sources of information, the statistical properties of utilization data, common analytic methods including the two-part model, and some newly available statistical methods including the generalized linear model. We also address issues of study design and new methods for dealing with censored data. Examples are presented.",

author = "P. Diehr and D. Yanez and A. Ash and M. Hornbrook and Lin, {D. Y.}",

year = "1999",

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AU - Hornbrook, M.

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AB - Important questions about health care are often addressed by studying health care utilization. Utilization data have several characteristics that make them a challenge to analyze. In this paper we discuss sources of information, the statistical properties of utilization data, common analytic methods including the two-part model, and some newly available statistical methods including the generalized linear model. We also address issues of study design and new methods for dealing with censored data. Examples are presented.

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JO - Annual Review of Public Health

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Methods for analyzing health care utilization and costs

Abstract

ASJC Scopus subject areas

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