Survival Analysis by Shenyang GuoSurvival Analysis by Shenyang Guo

Survival Analysis

byShenyang Guo

Paperback | February 8, 2010

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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 orrecurrences 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'sbenefit.
Shenyang Guo, Ph.D., is Professor of Social Work at the University of North Carolina at Chapel Hill.
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Title:Survival AnalysisFormat:PaperbackDimensions:176 pages, 5.51 × 8.19 × 0.51 inPublished:February 8, 2010Publisher:Oxford University PressLanguage:English

The following ISBNs are associated with this title:

ISBN - 10:0195337514

ISBN - 13:9780195337518

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Table of Contents

1. Introduction2. Key Concepts and Descriptive Approaches3. The Discrete-Time Models4. The Cox Proportional Hazards Model5. The Parametric Models6. Multilevel Analysis of the Time-to-Event Data7. Computing Software Packages for Survival Analysis8. Concluding RemarksGlossaryReferencesIndex