Statistics for Health Data Science: An Organic Approach
Statistics for Health Data Science: An Organic Approach
- 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
PRP: 650.91 Lei
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585.82Lei
585.82Lei
650.91 LeiIndisponibil
Descrierea produsului
- 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
Detaliile produsului