Journal Article
Data visualization and health econometrics
Authors
Publication date
2017
Summary
This article reviews econometric methods for health outcomes and health care costs that are used for prediction and forecasting, risk adjustment, resource allocation, technology assessment, and policy evaluation. It focuses on the principles and practical application of data visualization and statistical graphics and how these can enhance applied econometric analysis. Particular attention is devoted to methods for skewed and heavy-tailed distributions. Practical examples show how these methods can be applied to data on individual healthcare costs and health outcomes. Topics include: an introduction to data visualization; data description and regression; generalized linear models; flexible parametric models; semiparametric models; and an application to biomarkers.
Published in
Foundations and Trends in Econometrics
Volume and page numbers
9 , 1 -78
DOI
http://dx.doi.org/10.1561/0800000033
ISSN
16
Subjects
Econometrics, Economics, Health, and Biology
Links
White Rose Research Online - author produced version - http://eprints.whiterose.ac.uk/120147/
Notes
Not held in Hilary Doughty Research Library - bibliographic reference only
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