Applied Longitudinal Data Analysis: Modeling Change and Event Occurrence by Judith D. SingerApplied Longitudinal Data Analysis: Modeling Change and Event Occurrence by Judith D. Singer

Applied Longitudinal Data Analysis: Modeling Change and Event Occurrence

byJudith D. Singer, John B. Willett

Hardcover | April 15, 2003

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Change is constant in everyday life. Infants crawl and then walk, children learn to read and write, teenagers mature in myriad ways, the elderly become frail and forgetful. Beyond these natural processes and events, external forces and interventions instigate and disrupt change: test scoresmay rise after a coaching course, drug abusers may remain abstinent after residential treatment. By charting changes over time and investigating whether and when events occur, researchers reveal the temporal rhythms of our lives. Applied Longitudinal Data Analysis is a much-needed professional bookfor empirical researchers and graduate students in the behavioral, social, and biomedical sciences. It offers the first accessible in-depth presentation of two of today's most popular statistical methods: multilevel models for individual change and hazard/survival models for event occurrence (inboth discrete- and continuous-time). Using clear, concise prose and real data sets from published studies, the authors take you step by step through complete analyses, from simple exploratory displays that reveal underlying patterns through sophisticated specifications of complex statistical models. Applied Longitudinal Data Analysis offers readers a private consultation session with internationally recognized experts and represents a unique contribution to the literature on quantitative empirical methods. Visit http://www.ats.ucla.edu/stat/examples/alda.htm for: * Downloadable data sets * Library of computer programs in SAS, SPSS, Stata, HLM, MLwiN, and more * Additional material for data analysis
John B. Willett is at Harvard University.
Title:Applied Longitudinal Data Analysis: Modeling Change and Event OccurrenceFormat:HardcoverDimensions:672 pages, 6.18 × 9.29 × 1.5 inPublished:April 15, 2003Publisher:Oxford University PressLanguage:English

The following ISBNs are associated with this title:

ISBN - 10:0195152964

ISBN - 13:9780195152968

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Table of Contents

Part I1. A Framework for Investigating Change over Time2. Exploring Longitudinal Data on Change3. Introducing the Multilevel Model for Change4. Doing Data Analysis with the Multilevel Model for Change5. Treating TIME More Flexibly6. Modeling Discontinuous and Nonlinear Change7. Examining the Multilevel Model's Error Covariance Structure8. Modeling Change using Covariance Structure AnalysisPart II9. A Framework for Investigating Event Occurrence10. Describing Discrete-Time Event Occurrence Data11. Fitting Basic Discrete-Time Hazard Models12. Extending the Discrete-Time Hazard Model13. Describing Continuous-Time Event Occurrence Data14. Fitting Cox Regression Models15. Extending the Cox Regression ModelNotesReferencesIndex

Editorial Reviews

"...provides readers with a solid, thorough, and accurate understanding of concepts and procedures. Substantive researchers may have been introduced to multilevel models or methods for categorical data analysis but they have difficulty seeing how these methods can be applied to longitudinaldata. The authors make this connection, and also comprehensively introduce the methods to those completely unfamiliar with either multilevel models or survival analysis."--Journal of the American Statistical Association, March 2005, vol. 100, No. 469, 352-353