Stratified Regression: Rethinking Regression CoefficientsĬhapter 2.Preparing Data Using Structured Query Language (SQL) Application to Benchmarking Clinicians: Switching DistributionsĬhapter 18. Stratified Covariate BalancingĬhapter 17. Multilevel Modeling: Intercept RegressionĬhapter 16. Analysis of One Observation per Time Period: Tukey's ChartĬhapter 14. Risk Assessment: Prognosis of Patients with Multiple MorbiditiesĬhapter 9. Distributions and Univariate AnalysisĬhapter 5. Introduction to Probability and RelationshipsĬhapter 4. Preparing Data Using Structured Query Language (SQL)Ĭhapter 3. Rothschadl Cover designer: James Slate Layout: PerfecTypeįound an error or a typo? We want to know! Please e-mail it to mentioning the book's title and putting Book Error in the subject line.įor photocopying and copyright information, please contact Copyright Clearance Center at or at (978) 750-8400.įor my life's true love, Mastee Badii. A44 2019 (print) | LCC RA409 (ebook) | DDC 610.2/1-dc23Īcquisitions editor: Jennette McClain Project manager: Theresa L.
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This book shows how to use EHRs for precision and predictive medicine- Provided by publisher. The future of medicine depends on understanding patterns in EHRs. | Summary: This book introduces health administrators, nurses, physician assistants, medical students, and data scientists to statistical analysis of electronic health records (EHRs). Title: Big data in healthcare : statistical analysis of the electronic health record / by Farrokh Alemi.ĭescription: Chicago, IL : Health Administration Press, | Includes bibliographical references and index. Library of Congress Cataloging-in-Publication Data This book or parts thereof may not be reproduced in any form without written permission of the publisher. The statements and opinions contained in this book are strictly those of the authors and do not represent the official positions of the American College of Healthcare Executives, the Foundation of the American College of Healthcare Executives, or the Association of University Programs in Health Administration.Ĭopyright © 2020 by the Foundation of the American College of Healthcare Executives.
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If professional advice or other expert assistance is required, the services of a competent professional should be sought. It is sold, or otherwise provided, with the understanding that the publisher is not engaged in rendering professional services. This publication is intended to provide accurate and authoritative information in regard to the subject matter covered.
For information on quantity discounts, contact the Health Administration Press Marketing Manager at (312) 424-9450. Your board, staff, or clients may also benefit from this book's insight. Health Administration Press, Chicago, IllinoisĪssociation of University Programs in Health Administration, Washington, DC HAP/AUPHA Editorial Board for Graduate Studies Prepare for those challenges with the clear understanding of your data that statistical analysis can bring-and make the best possible decisions for maximum performance in the competitive field of healthcare. Big Data in Healthcare applies the building blocks of statistical thinking to the basic challenges that healthcare leaders face every day. Its extensive online instructor resources include course syllabi, PowerPoint and video lectures, Excel exercises, individual and team assignments, answers to assignments, and student-organized tutorials. It can also be used to learn SQL language.
Remove confounding in observational data This book can be used in introductory courses on hypothesis testing, intermediate courses on regression, and advanced courses on causal analysis.Benchmarking different clinicians on the same set of patients.Comparing the effectiveness of different interventions using causal analysis.