Multilevel and Longitudinal Modeling Using Stata, Volume I

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A01=Anders Skrondal
A01=Sophia Rabe-Hesketh
advanced statistical inference
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Author_Anders Skrondal
Author_Sophia Rabe-Hesketh
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educational research methods
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growth modelling techniques
hierarchical data analysis
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linear regression
mixed effects modelling
Models for longitudinal and panel data
Models with nested and crossed random effects
multilevel continuous outcome analysis
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Random-intercept model with covariates
repeated measures statistics
softlaunch
Variance-components models

Product details

  • ISBN 9781597181372
  • Weight: 1220g
  • Publication Date: 22 Oct 2021
  • Publisher: Stata Press
  • Publication City/Country: US
  • Product Form: Paperback
  • Language: English
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Multilevel and Longitudinal Modeling Using Stata, Fourth Edition, is a complete resource for learning to model data in which observations are grouped. With comprehensive coverage, researchers who need to apply multilevel models will find this book to be the perfect companion. It is also the ideal text for courses in multilevel modeling because it provides examples from a variety of disciplines as well as end-of-chapter exercises that allow students to practice newly learned material. The book comprises two volumes. Volume I focuses on linear models for continuous outcomes.

Sophia Rabe-Hesketh is a professor of educational statistics and biostatistics at the University of California, Berkeley.

Anders Skrondal is a senior biostatistician at the Centre for Fertility and Health, Norwegian Institute of Public Health and an adjunct professor at the University of Oslo and at the University of California, Berkeley.

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