Details about Sophia Rabe-Hesketh

Access statistics for papers by Sophia Rabe-Hesketh.

Last updated 2008-10-04. Update your information in the RePEc Author Service.

Short-id: pra94

Working Papers

2008

1. Multilevel modeling of educational longitudinal data with crossed random effects
   Fall North American Stata Users' Group Meetings 2008, Stata Users Group
2. Prediction for multilevel models
   United Kingdom Stata Users' Group Meetings 2008, Stata Users Group
3. Prediction in Multilevel Logistic Regression
   Fall North American Stata Users' Group Meetings 2008, Stata Users Group

2007

4. Multilevel modeling of complex survey data
   West Coast Stata Users' Group Meetings 2007, Stata Users Group View citations
   See Also Journal Article in Journal Of The Royal Statistical Society Series A (2006)

2005

5. Maximum Likelihood Estimation of Endogenous Switching And Sample Selection Models for Binary, Count, And Ordinal Variables
   Keele Economics Research Papers, Centre for Economic Research, Keele University View citations

2004

6. GLLAMM Manual
   U.C. Berkeley Division of Biostatistics Working Paper Series, Berkeley Electronic Press View citations

2003

7. Diagnostics for generalised linear mixed models
   United Kingdom Stata Users' Group Meetings 2003, Stata Users Group
8. Wishes and Grumbles
   United Kingdom Stata Users' Group Meetings 2003, Stata Users Group

2002

9. Generalized latent class modeling using gllamm
   North American Stata Users' Group Meetings 2003, Stata Users Group
10. Multilevel selection models using gllamm
    Dutch-German Stata Users' Group Meetings 2002, Stata Users Group View citations

2001

11. Extensions to gllamm6
    United Kingdom Stata Users' Group Meetings 2001, Stata Users Group

Journal Articles

2007

1. Estimating parameters of dichotomous and ordinal item response models with gllamm
   Stata Journal, 2007, 7, (3), 313-333
2. Latent Variable Modelling: A Survey
   Scandinavian Journal of Statistics, 2007, 34, (4), 712-745 View citations
3. Multilevel and Latent Variable Modeling with Composite Links and Exploded Likelihoods
   Psychometrika, 2007, 72, (2), 123-140

2006

4. Maximum likelihood estimation of endogenous switching and sample selection models for binary, ordinal, and count variables
   Stata Journal, 2006, 6, (3), 285-308 View citations
5. Multilevel modelling of complex survey data
   Journal Of The Royal Statistical Society Series A, 2006, 169, (4), 805-827
   See Also Working Paper (2007)

2005

6. Maximum likelihood estimation of limited and discrete dependent variable models with nested random effects
   Journal of Econometrics, 2005, 128, (2), 301-323 View citations

2004

7. Generalized multilevel structural equation modeling
   Psychometrika, 2004, 69, (2), 167-190 View citations

2003

8. Maximum likelihood estimation of generalized linear models with covariate measurement error
   Stata Journal, 2003, 3, (4), 386-411 View citations
9. Multilevel logistic regression for polytomous data and rankings
   Psychometrika, 2003, 68, (2), 267-287 View citations

2002

10. Reliable estimation of generalized linear mixed models using adaptive quadrature
    Stata Journal, 2002, 2, (1), 1-21 View citations

2000

11. Generalized linear latent and mixed models
    Stata Technical Bulletin, 2000, 9, (53) View citations

Books

2008

1. Multilevel and Longitudinal Modeling Using Stata, 2nd Edition
   Stata Press books, StataCorp LP

Software Items

2008

1. CI_MARG_MU: Stata module to produce simulation-based confidence intervals after gllapred
   Statistical Software Components, Boston College Department of Economics
2. GLLAMM: Stata program to fit generalised linear latent and mixed models
   Statistical Software Components, Boston College Department of Economics View citations

2006

3. SSM: Stata program to estimate endogenous switching and sample selection models for binary, count, and ordinal variables using ML
   Statistical Software Components, Boston College Department of Economics

2004

4. CME: Stata program to estimate generalized linear models with covariate measurement error
   Statistical Software Components, Boston College Department of Economics