Statistical methods in health disparity research
Author(s)
Bibliographic Information
Statistical methods in health disparity research
（Chapman & Hall/CRC biostatistics series）
CRC Press, 2023
First edition
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Note
Includes bibliographical references and index.
Summary:"A "health disparity" refers to a higher burden of illness, injury, disability, or mortality experienced by one group relative to another due to age, income, race, etc. This will focus on estimation, classical approaches, quantification of disparity, formal modelling, to modern approaches with more flexible computational approaches"-- Provided by publisher.
Contents of Works
- Basic concepts
- Overall estimation of health disparities
- Domain-specific estimates
- Causality, moderation and mediation
- Machine learning based approaches to disparity estimation
- Health disparity estimation under a precision medicine paradigm
- Extended topics.
Description and Table of Contents
Description
* Presents an overview of methods and applications of health disparity estimation
* First book to synthesize research in this field in a unified statistical framework
* Covers classical approaches, and builds to more modern computational techniques
* Includes many worked examples and case studies using real data
* Discusses available software for estimation
Table of Contents
1. Basic Concepts. 2. Overall Estimation of Health Disparities. 3. Domain-specific Estimates. 4. Causality, Moderation and Meditation. 5. Machine Learning Based Approaches to Disparity Estimation. 6. Health Disparity Estimation Under a Precision Medicine Paradigm. 7. Extended Topics.
by "Nielsen BookData"