Multilevel and Longitudinal Modeling Using Stata, Volume II - Categorical Responses, Counts, and Survival

Multilevel and Longitudinal Modeling Using Stata, Fourth Edition, is a complete resource for learning to model data in which observations are grouped. Volume II focuses on generalized linear models for binary, ordinal, count, and other types of outcomes.

List of contents

Volume II: V. Models for categorical responses 10. Dichotomous or binary responses 11. Ordinal responses 12. Nominal responses and discrete choice VI. Models for counts 13. Counts VII. Models for survival or duration data; Introduction to models for survival or duration data (part VII) 14. Discrete-time survival 15. Continuous-time survival VIII. Models with nested and crossed random effects 16. Models with nested and crossed random effects

About the author

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.

Summary

Multilevel and Longitudinal Modeling Using Stata, Fourth Edition, is a complete resource for learning to model data in which observations are grouped. Volume II focuses on generalized linear models for binary, ordinal, count, and other types of outcomes.

Product details

• Authors: Sophia Rabe-Hesketh, Rabe-Hesketh Sophia, Anders Skrondal, Skrondal Anders
• Publisher: Taylor and Francis
• Languages: English
• Product format: Paperback / Softback
• Released: 31.10.2021
• EAN: 9781597181389
• ISBN: 978-1-59718-138-9
• No. of pages: 544
• Weight: 1201 g
• Subjects: Humanities, art, music > Psychology > Basic principles; Non-fiction book > Psychology, esoterics, spirituality, anthroposophy > Psychology: general, reference works; MATHEMATICS / Probability & Statistics / General, Psychological methodology, Probability & statistics, Probability and statistics