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Statistics for Health Data Science

An Organic Approach

Ruth Etzioni; Micha Mandel; Roman Gulati

978-3-030-59889-1

2020
Edition 1
- Highly interdisciplinary - drawing from statistics, health services, economics, and informatics
- Goes beyond the formulas, explaining why different methods work, how to choose from among them, and how to avoid misinterpreting results - to create confident users of appropriate analytic methods
- Addresses topical questions such as data science versus statistics, prediction versus explanation
- Provides a wide range of analytic and regression-type models specific to research questions about health care use and costs of care
- In-depth discussion on selection bias in observational data methods for inferring causality
- Supplementary Material Includes: Code and data for all examples and model analyses, Code for data processing and analysis, Code segments for simulation models
- Includes supplementary material: sn.pub/extras
€419

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