Multilevel and Longitudinal Modeling Using Stata, Volume II

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A01=Anders Skrondal
A01=Sophia Rabe-Hesketh
advanced multilevel statistical techniques
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Age Group_Uncategorized
Author_Anders Skrondal
Author_Sophia Rabe-Hesketh
automatic-update
Category1=Non-Fiction
Category=JMB
Category=PBT
COP=United States
cross-classified structures
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discrete outcome variables
eq_bestseller
eq_isMigrated=2
eq_nobargain
eq_non-fiction
eq_society-politics
generalised estimating equations
hierarchical data analysis
Language_English
linear regression
mixed effects modelling
PA=Available
Price_€50 to €100
PS=Active
Random Coefficient models
Random-intercept models with covariates
softlaunch
Subject-specific effects and dynamic models
survival analysis methods
Variance-components models

Product details

  • ISBN 9781597181389
  • Weight: 1201g
  • 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 II focuses on generalized linear models for binary, ordinal, count, and other types of 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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