Anders Skrondal, Sophia Rabe-Hesketh
Multilevel and Longitudinal Modeling Using Stata, Volumes I and II
Anders Skrondal, Sophia Rabe-Hesketh
Multilevel and Longitudinal Modeling Using Stata, Volumes I and II
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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.
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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.
Produktdetails
- Produktdetails
- Verlag: Stata Press
- 4. Auflage
- Seitenzahl: 1098
- Erscheinungstermin: 29. April 2022
- Englisch
- Abmessung: 240mm x 186mm x 70mm
- Gewicht: 2410g
- ISBN-13: 9781597181365
- ISBN-10: 1597181366
- Artikelnr.: 62847689
- Herstellerkennzeichnung
- Libri GmbH
- Europaallee 1
- 36244 Bad Hersfeld
- gpsr@libri.de
- Verlag: Stata Press
- 4. Auflage
- Seitenzahl: 1098
- Erscheinungstermin: 29. April 2022
- Englisch
- Abmessung: 240mm x 186mm x 70mm
- Gewicht: 2410g
- ISBN-13: 9781597181365
- ISBN-10: 1597181366
- Artikelnr.: 62847689
- Herstellerkennzeichnung
- Libri GmbH
- Europaallee 1
- 36244 Bad Hersfeld
- gpsr@libri.de
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.
Volume I: I. Preliminaries 1. Review of linear regression II. Two-level
models 3. Random-intercept models with covariates 4. Random-coefficient
models III. Models for longitudinal and panel data; Introduction to models
for longitudinal and panel data (part III) 5. Subject-specific effects and
dynamic models 6. Marginal models 7. Growth-curve models IV. Models with
nested and crossed random effects 8. Higher-level models with nested random
effects 9. Crossed random effects; 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
models 3. Random-intercept models with covariates 4. Random-coefficient
models III. Models for longitudinal and panel data; Introduction to models
for longitudinal and panel data (part III) 5. Subject-specific effects and
dynamic models 6. Marginal models 7. Growth-curve models IV. Models with
nested and crossed random effects 8. Higher-level models with nested random
effects 9. Crossed random effects; 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
Volume I: I. Preliminaries 1. Review of linear regression II. Two-level
models 3. Random-intercept models with covariates 4. Random-coefficient
models III. Models for longitudinal and panel data; Introduction to models
for longitudinal and panel data (part III) 5. Subject-specific effects and
dynamic models 6. Marginal models 7. Growth-curve models IV. Models with
nested and crossed random effects 8. Higher-level models with nested random
effects 9. Crossed random effects; 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
models 3. Random-intercept models with covariates 4. Random-coefficient
models III. Models for longitudinal and panel data; Introduction to models
for longitudinal and panel data (part III) 5. Subject-specific effects and
dynamic models 6. Marginal models 7. Growth-curve models IV. Models with
nested and crossed random effects 8. Higher-level models with nested random
effects 9. Crossed random effects; 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







