{"product_id":"statistics-for-health-data-science-an-organic-approach-9783030598884","title":"Statistics for Health Data Science: An Organic Approach","description":"\u003cp\u003e • Author(s): Ruth Etzioni\u003cbr\u003e • Publisher: Springer\u003cbr\u003e • Publisher Imprint: Springer\u003cbr\u003e • BISAC: Biostatistics\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eHighly interdisciplinary - drawing from statistics, health services, economics, and informatics\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eGoes 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\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eAddresses topical questions such as data science versus statistics, prediction versus explanation\u003c\/li\u003e\n\u003cli\u003eProvides a wide range of analytic and regression-type models specific to research questions about health care use and costs of care\u003c\/li\u003eIn-depth discussion on selection bias in observational data methods for inferring causality\u003cli\u003e\n\u003ci\u003eSupplementary Material Includes: \u003c\/i\u003e Code and data for all examples and model analyses, Code for data processing and analysis, Code segments for simulation models\u003c\/li\u003e\n\u003c\/ul\u003e","brand":"Springer","offers":[{"title":"Hardcover","offer_id":45032821883031,"sku":"9783030598884","price":7267.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0666\/3471\/1191\/files\/9783030598884.webp?v=1767896951","url":"https:\/\/atlanticbooks.com\/products\/statistics-for-health-data-science-an-organic-approach-9783030598884","provider":"Atlantic Books","version":"1.0","type":"link"}