Applied longitudinal data analysis : modeling change and event occurrence

by Judith D. Singer

Other authorsJohn B. Willett
2003

Status

Checked out
Due Mar 31, 2017

Call number

H 62 .S47755 2003 c.2

User reviews

LibraryThing member tsryan
I often find statistics textbooks largely incomprehensible, so it was a nice surprise to find this one, dedicated to a somewhat advanced sub-topic within statistics, to be a relatively easy read. It would still be hard to learn longitudinal data analysis from this book a lone, but as a reference or
Show More
companion to a class it's very useful.
Show Less

Publication

Oxford ; New York : Oxford University Press, c2003.

Description

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… (more)

Awards

PROSE Award (Honorable Mention — 2003)

Physical description

xx, 644 p.; 24 cm
Page: 1.0811 seconds