E-Book Overview
Survival analysis is a class of statistical methods for studying the occurrence and timing of events. Statistical analysis of longitudinal data, particularly censored data, lies at the heart of social work research, and many of social work research's empirical problems, such as child welfare, welfare policy, evaluation of welfare-to-work programs, and mental health, can be formulated as investigations of timing of event occurrence. Social work researchers also often need to analyze multilevel or grouped data (for example, event times formed by sibling groups or mother-child dyads or recurrences of events such as reentries into foster care), but these and other more robust methods can be challenging to social work researchers without a background in higher math.With clearly written summaries and plentiful examples, all written with social work issues and social work researchers in mind, this pocket guide will put this important statistical tool in the hands of many more social work researchers than have been able to use it before, to the field's benefit.
E-Book Content
Survival Analysis P O C K E T G U I D E S T O SOCIAL WORK RESEARCH METHODS Series Editor Tony Tripodi, DSW Professor Emeritus, Ohio State University Determining Sample Size: Balancing Power, Precision, and Practicality Patrick Dattalo Developing Cross-Cultural Measurement Thanh V. Tran Preparing Research Articles Bruce A. Thyer Intervention Research: Developing Social Programs Mark W. Fraser, Jack M. Richman, Maeda J. Galinsky, and Steven H. Day Systematic Reviews and Meta-Analysis Julia H. Littell, Jacqueline Corcoran, and Vijayan Pillai Historical Research Elizabeth Ann Danto Confirmatory Factor Analysis Donna Harrington Randomized Controlled Trials: Design and Implementation for Community-Based Psychosocial Interventions Phyllis Solomon, Mary M. Cavanaugh, and Jeffrey Draine Needs Assessment David Royse, Michele Staton-Tindall, Karen Badger, and J. Matthew Webster Multiple Regression with Discrete Dependent Variables John G. Orme and Terri Combs-Orme Developing and Validating Rapid Assessment Instruments Neil Abell, David W. Springer, and Akihito Kamata Clinical Data-Mining: Integrating Practice and Research Irwin Epstein Strategies to Approximate Random Sampling and Assignment Patrick Dattalo Analyzing Single System Design Data William R. Nugent The Dissertation: From Beginning to End Peter Lyons and Howard J. Doueck Survival Analysis Shenyang Guo SHENYANG GUO Survival Analysis 1 2010 1 Oxford University Press, Inc., publishes works that further Oxford University’s objective of excellence in research, scholarship, and education. Oxford New York Auckland Cape Town Dar es Salaam Hong Kong Karachi Kuala Lumpur Madrid Melbourne Mexico City Nairobi New Delhi Shanghai Taipei Toronto With offices in Argentina Austria Brazil Chile Czech Republic France Greece Guatemala Hungary Italy Japan Poland Portugal Singapore South Korea Switzerland Thailand Turkey Ukraine Vietnam Copyright 2010 by Oxford University Press, Inc. Published by Oxford University Press, Inc. 198 Madison Avenue, New York, New York 10016 www.oup.com Oxford is a registered trademark of Oxford University Press. All rights reserved. No part of this publication may be reproduced, stored in a retrieval system, or transmitted, in any form or by any means, electronic, mechanical, photocopying, recording, or otherwise, without the prior permission of Oxford University Press. Library of Congress Cataloging-in-Publication Data Guo, Shenyang. Survival analysis / Shenyang Guo. p. cm. — (Pocket guides to social work research methods) Includes bibliographical references and index. ISBN 978-0-19-533751-8 1. Event history analysis. 2. Social sciences—Statistical methods. I. Title. H61.G868 2010 300.720 7—dc22 2009