{ "item_title" : "Statistics for Health Data Science", "item_author" : [" Ruth Etzioni", "Micha Mandel", "Roman Gulati "], "item_description" : "Highly interdisciplinary - drawing from statistics, health services, economics, and informaticsGoes 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 methodsAddresses topical questions such as data science versus statistics, prediction versus explanationProvides a wide range of analytic and regression-type models specific to research questions about health care use and costs of careIn-depth discussion on selection bias in observational data methods for inferring causalitySupplementary Material Includes: Code and data for all examples and model analyses, Code for data processing and analysis, Code segments for simulation models", "item_img_path" : "https://covers1.booksamillion.com/covers/bam/3/03/059/888/3030598888_b.jpg", "price_data" : { "retail_price" : "109.99", "online_price" : "109.99", "our_price" : "109.99", "club_price" : "109.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }

Overview

Customers Also Bought

Details