Journal ArticleDOI
Modeling risk using generalized linear models.
TLDR
A new approach to modeling the second part of two-part models utilizing extensions of the generalized linear model and the primary method of estimation for this model is maximum likelihood and the generalizations quasi-likelihood and extended quasi- likelihood are discussed.About:
This article is published in Journal of Health Economics.The article was published on 1999-04-01. It has received 444 citations till now. The article focuses on the topics: Generalized linear mixed model & Proper linear model.read more
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Estimating Log Models: To Transform or Not to Transform?
TL;DR: This study examines how well the alternative estimators behave econometrically in terms of bias and precision when the data are skewed or have other common data problems (heteroscedasticity, heavy tails, etc).
Journal ArticleDOI
Estimating log models: to transform or not to transform?
Willard G. Manning,John Mullahy +1 more
TL;DR: In this article, the authors examined how well the alternative estimators behave econometrically in terms of bias and precision when the data are skewed or have other common data problems (heteroscedasticity, heavy tails).
Journal ArticleDOI
Cost savings associated with US hospital palliative care consultation programs.
R. Sean Morrison,Joan D. Penrod,J. Brian Cassel,Melissa Caust-Ellenbogen,Lynn Spragens,Diane E. Meier +5 more
TL;DR: Hospital palliative care consultation teams are associated with significant hospital cost savings and have been shown to improve care for adults with serious illness.
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Too much ado about two-part models and transformation?: Comparing methods of modeling Medicare expenditures
TL;DR: This paper compares the performance of eight alternative estimators, including OLS and GLM estimators and one- and two-part models, in predicting Medicare costs and suggests an efficient method for researchers to use when selecting estimators of health care costs.
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Methods for analyzing health care utilization and costs
TL;DR: This paper discusses sources of information, the statistical properties of utilization data, common analytic methods including the two-part model, and some newly available statistical methodsincluding the generalized linear model.
References
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Journal ArticleDOI
Generalized linear models. 2nd ed.
Peter McCullagh,John A. Nelder +1 more
TL;DR: A class of statistical models that generalizes classical linear models-extending them to include many other models useful in statistical analysis, of particular interest for statisticians in medicine, biology, agriculture, social science, and engineering.
Journal ArticleDOI
Generalized Linear Models
TL;DR: Generalized linear models, 2nd edn By P McCullagh and J A Nelder as mentioned in this paper, 2nd edition, New York: Manning and Hall, 1989 xx + 512 pp £30
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Smearing Estimate: A Nonparametric Retransformation Method
TL;DR: The smearing estimate as discussed by the authors is a nonparametric estimate of the expected response on the untransformed scale after fitting a linear regression model on a transformed scale, which is consistent under mild regularity conditions, and usually attains high efficiency relative to parametric estimates.
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A Comparison of Alternative Models for the Demand for Medical Care
TL;DR: This article used a split-sample analysis and found that a model that more closely approximates distributional assumptions and uses a nonparametric retransformation factor performs better in terms of mean squared forecast error.
Journal ArticleDOI
Development and Application of a Population-Oriented Measure of Ambulatory Care Case-Mix
TL;DR: The Ambulatory Care Group (ACG) system provides a conceptually simple, statistically valid, and clinically relevant measure useful in predicting the utilization of ambulatory health services within a particular population group.