Data visualization and health econometrics

Research output: Contribution to journalReview ArticleResearchpeer-review

2 Citations (Scopus)

Abstract

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.

Original languageEnglish
Pages (from-to)1-78
Number of pages78
JournalFoundations and Trends in Econometrics
Volume9
Issue number1
DOIs
Publication statusPublished - 31 Aug 2017
Externally publishedYes

Cite this