Statistics for Health Data Science: An Organic Approach

By Micha Mandel, Roman Gulati, Ruth Etzioni

Book Overview

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 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

• Format: Paperback
• Language: English
• ISBN: 3030598918
• ISBN13: 9783030598914
• Release Date: January 2022
• Publisher: Springer
• Length: 222 Pages
• Weight: 0.77 lbs.
• Dimensions: 0.5" x 6.1" x 9.2"