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Applied Longitudinal Data Analysis
Judith D. Singer
John B. Willett
其他書名
Modeling Change and Event Occurrence
出版
Oxford University Press, USA
, 2003-03-27
主題
Mathematics / Probability & Statistics / General
Medical / Epidemiology
Medical / Research
Psychology / Research & Methodology
Psychology / Statistics
Reference / Research
Social Science / Research
ISBN
0195152964
9780195152968
URL
http://books.google.com.hk/books?id=NlcSDAAAQBAJ&hl=&source=gbs_api
EBook
SAMPLE
註釋
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 scores may 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 book for 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 (in both 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:
DT Downloadable data sets
DT Library of computer programs in SAS, SPSS, Stata, HLM, MLwiN, and more
DT Additional material for data analysis
