Econometric models for health outcomes and health care costs are used for prediction and forecasting in health care planning, risk adjustment by insurers and public providers of health care, geographic resource allocation, health technology assessment and health policy impact evaluations. Methods for risk adjustment focus on predicting the treatment costs for a particular type of patient, often with very large survey or administrative datasets. Data Visualization and Health Econometrics focuses on the principles and practice of data visualization and statistical graphics and how these can enhance empirical analysis of health care costs and outcomes, especially for skewed and heavy-tailed distributions. The scope of this review is limited to non-normal but continuous outcomes such as health care costs and biomarkers. The methods and applications used here are limited to cross sectional data. The review of methods that have been developed for health care cost regressions is complemented by an empirical case study that focuses on objectively measured health outcomes, whose distributions share many of the features of cost data. The case study applies the econometric and graphical methods to blood-based biomarkers as the dependent variables.
| ISBN: | 9781680833188 |
| Publication date: | 31st August 2017 |
| Author: | Andrew M Jones |
| Publisher: | now publishers Inc |
| Format: | Paperback |
| Pagination: | 88 pages |
| Series: | Foundations and Trends in Econometrics |
| Genres: |
Econometrics and economic statistics |
Econometric models for health outcomes and health care costs are used for prediction and forecasting in health care planning, risk adjustment by insurers and public providers of health care, geographic resource allocation, health technology assessment and health policy impact evaluations. Methods for risk adjustment focus on predicting the treatment costs for a particular type of patient, often with very large survey or administrative datasets. Data Visualization and Health Econometrics focuses on the principles and practice of data visualization and statistical graphics and how these can enhance empirical analysis of health care costs and outcomes, especially for skewed and heavy-tailed distributions. The scope of this review is limited to non-normal but continuous outcomes such as health care costs and biomarkers. The methods and applications used here are limited to cross sectional data. The review of methods that have been developed for health care cost regressions is complemented by an empirical case study that focuses on objectively measured health outcomes, whose distributions share many of the features of cost data. The case study applies the econometric and graphical methods to blood-based biomarkers as the dependent variables.
Data Visualization and Health Econometrics features in the following genres: Econometrics and economic statistics
Data Visualization and Health Econometrics is available in Paperback
Data Visualization and Health Econometrics was written by Andrew M Jones and published by now publishers Inc
Data Visualization and Health Econometrics has 88 pages
Yes it is part of Foundations and Trends in Econometrics series