Applied Longitudinal Data Analysis - Info and Reading Options
Modeling Change and Event Occurrence
By Judith D. Singer and John B. Willett
"Applied Longitudinal Data Analysis" is published by Oxford University Press, USA in March 19, 2003, it has 644 pages and the language of the book is English.
“Applied Longitudinal Data Analysis” Metadata:
- Title: ➤ Applied Longitudinal Data Analysis
- Authors: Judith D. SingerJohn B. Willett
- Language: English
- Number of Pages: 644
- Publisher: Oxford University Press, USA
- Publish Date: March 19, 2003
“Applied Longitudinal Data Analysis” Subjects and Themes:
- Subjects: ➤ Longitudinal method - Social sciences, research - Social sciences - Research - Longitudinal Studies - Statistical Models - Statistical Data Interpretation - Epidemiologic Methods
Edition Identifiers:
- The Open Library ID: OL7390118M - OL20993144W
- Online Computer Library Center (OCLC) ID: 49773716
- Library of Congress Control Number (LCCN): 2002007055
- ISBN-13: 9780195152968
- ISBN-10: 0195152964
- All ISBNs: 0195152964 - 9780195152968
AI-generated Review of “Applied Longitudinal Data Analysis”:
Snippets and Summary:
Many studies lend themselves to the measurement of change.
"Applied Longitudinal Data Analysis" Description:
The Open Library:
"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."--Jacket.
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