Practical Propensity Score Methods Using R.pdf

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Acknowledgements

Half Title

Acknowledgements

Title Page

Contents

Preface

Acknowledgments

About the Author

1 Overview of Propensity Score Analysis

2 Propensity Score Estimation

3 Propensity Score Weighting

4 Propensity Score Stratification

5 Propensity Score Matching

6 Propensity Score Methods for Multiple Treatments

7 Propensity Score Methods for Continuous Treatment Doses

8 Propensity Score Analysis With Structural Equation Models

9 Weighting Methods for Time-Varying Treatments

10 Propensity Score Methods With Multilevel Data

References

Index

“Clearly written and technically sound, this text should be a staple for researchers and methodologists alike. Not only is the text an excellent resource for understanding propensity score analysis, but the author has recognized the messiness of real data, and helps the reader understand and appropriately address issues such as missing data and complex samples. This is extremely refreshing.”— Debbie Hahs-Vaughn, University of Central Florida “This book provides an overview of propensity score analysis. The author’s introduction situates propensity score analysis within Rubin’s Causal Model and Campbell’s Framework. This text will be good for the advanced user with previous knowledge of the R language, complex survey design, and missing data.”— S. Jeanne Horst, James Madison University “This book provides an excellent definition of propensity scores and the sequential steps required in its application.”— Mansoor A. F. Kazi, University at Albany “It is a well-crafted practical book on propensity score methods and features the free software R. I believe many students will like it.”— Wei Pan, Duke University “With the use of examples consisting of real survey data, Practical Propensity Score Methods Using R provides a wide range of detailed information on how to reduce bias in research studies that seek to test treatment effects in situations where random assignment was not implemented.”— Jason Popan, University of Texas-Pan American “This book offers a comprehensive, accessible, and timely treatment of propensity score analysis and its application for estimating treatment effects from observational data with varying levels of complexity. Both novice and advanced users of this methodology will appreciate the breadth and depth of the practical knowledge that Walter Leite offers, and the useful examples he provides.”—Itzhak Yanovitzky, Rutgers University

Practical Propensity Score Methods Using R

For Cassandra, Thomas, and Jonas

Practical Propensity Score Methods Using R Walter Leite University of Florida

FOR INFORMATION: SAGE Publications, Inc. 2455 Teller Road Thousand Oaks, California 91320 E-mail: order@sagepub.com SAGE Publications Ltd. 1 Oliver’s Yard 55 City Road London, EC1Y 1SP United Kingdom SAGE Publications India Pvt. Ltd. B 1/I 1 Mohan Cooperative Industrial Area Mathura Road, New Delhi 110 044 India SAGE Publications Asia-Pacific Pte. Ltd. 3 Church Street #10-04 Samsung Hub Singapore 049483 Copyright © 2017 by SAGE Publications, Inc. All rights reserved. No part of this book may be reproduced or utilized in any form or by any means, electronic or mechanical, including photocopying, recording, or by any information storage and retrieval system, without permission in writing from the publisher. Printed in the United States of America ISBN 978-1-4522-8888-8 This book is printed on acid-free paper.

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