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Statistics for Health Data Science: An Organic Approach

Statistics for Health Data Science: An Organic Approach - Ruth Etzioni

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
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  • 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
Citeste mai mult

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