arbiter
JournalsPricingAccount

Data Visualization and Health Econometrics

Andrew M. Jones

Foundations and Trends in Econometrics2017https://doi.org/10.1561/0800000033book
AJG 1ABDC C
Weight
0.34

What the paper says

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.

2 citations

Open paper page →

Cite this paper

https://doi.org/https://doi.org/10.1561/0800000033

Or copy a formatted citation

@article{andrew2017,
  title        = {{Data Visualization and Health Econometrics}},
  author       = {Andrew M. Jones},
  journal      = {Foundations and Trends in Econometrics},
  year         = {2017},
  doi          = {https://doi.org/https://doi.org/10.1561/0800000033},
}

Paste directly into BibTeX, Zotero, or your reference manager.

Flag this paper

Data Visualization and Health Econometrics

Flags are reviewed by the Arbiter methodology team within 5 business days.

Evidence weight

0.34

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.00 × 0.4 = 0.00
M · momentum0.80 × 0.15 = 0.12
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.