Details about Sophia Rabe-Hesketh

Access statistics for papers by Sophia Rabe-Hesketh.

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Short-id: pra94

Working Papers

2012

1. Reducing bias due to missing values of the response variable by joint modeling with an auxiliary variable
   DoQSS Working Papers, Quantitative Social Science - UCL Social Research Institute, University College London

2011

2. Measuring school value added with administrative data: the problem of missing variables
   DoQSS Working Papers, Quantitative Social Science - UCL Social Research Institute, University College London View citations (10)
   See also Journal Article Measuring School Value Added with Administrative Data: The Problem of Missing Variables, Fiscal Studies, Institute for Fiscal Studies (2011) View citations (10) (2011)

2010

3. Biometrical modeling of twin and family data in Stata
   German Stata Users' Group Meetings 2010, Stata Users Group View citations (1)
4. Missing ordinal covariates with informative selection
   DoQSS Working Papers, Quantitative Social Science - UCL Social Research Institute, University College London View citations (1)
   See also Journal Article Missing ordinal covariate with informative selection, Journal of the Royal Statistical Society Series A, Royal Statistical Society (2014) (2014)

2009

5. Multilevel modeling of ordinal responses
   Mexican Stata Users' Group Meetings 2009, Stata Users Group

2008

6. Multilevel modeling of educational longitudinal data with crossed random effects
   Fall North American Stata Users' Group Meetings 2008, Stata Users Group View citations (1)
7. Prediction for multilevel models
   United Kingdom Stata Users' Group Meetings 2008, Stata Users Group
8. Prediction in Multilevel Logistic Regression
   Fall North American Stata Users' Group Meetings 2008, Stata Users Group

2007

9. Multilevel modeling of complex survey data
   West Coast Stata Users' Group Meetings 2007, Stata Users Group View citations (3)
   See also Journal Article Multilevel modelling of complex survey data, Journal of the Royal Statistical Society Series A, Royal Statistical Society (2006) View citations (81) (2006)

2005

10. 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

2004

11. GLLAMM Manual
    U.C. Berkeley Division of Biostatistics Working Paper Series, Berkeley Electronic Press View citations (107)

2003

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

2002

14. Generalized latent class modeling using gllamm
    North American Stata Users' Group Meetings 2003, Stata Users Group
15. Multilevel selection models using gllamm
    Dutch-German Stata Users' Group Meetings 2002, Stata Users Group View citations (3)

2001

16. Extensions to gllamm6
    United Kingdom Stata Users' Group Meetings 2001, Stata Users Group View citations (1)

Journal Articles

2023

1. Computational Strategies and Estimation Performance With Bayesian Semiparametric Item Response Theory Models
   Journal of Educational and Behavioral Statistics, 2023, 48, (2), 147-188
2. Diagnosing and Handling Common Violations of Missing at Random
   Psychometrika, 2023, 88, (4), 1123-1143
3. Ignoring Non-ignorable Missingness
   Psychometrika, 2023, 88, (1), 31-50

2022

4. The Role of Conditional Likelihoods in Latent Variable Modeling
   Psychometrika, 2022, 87, (3), 799-834 View citations (2)

2020

5. A Dyadic IRT Model
   Psychometrika, 2020, 85, (3), 815-836

2019

6. Bayesian Comparison of Latent Variable Models: Conditional Versus Marginal Likelihoods
   Psychometrika, 2019, 84, (3), 802-829 View citations (5)

2018

7. CFA Models with a General Factor and Multiple Sets of Secondary Factors
   Psychometrika, 2018, 83, (4), 785-808 View citations (2)

2017

8. A Variational Maximization–Maximization Algorithm for Generalized Linear Mixed Models with Crossed Random Effects
   Psychometrika, 2017, 82, (3), 693-716 View citations (9)

2016

9. An autoregressive growth model for longitudinal item analysis
   Psychometrika, 2016, 81, (3), 830-850 View citations (1)

2015

10. Weakly Informative Prior for Point Estimation of Covariance Matrices in Hierarchical Models
    Journal of Educational and Behavioral Statistics, 2015, 40, (2), 136-157 View citations (3)

2014

11. A Third-Order Item Response Theory Model for Modeling the Effects of Domains and Subdomains in Large-Scale Educational Assessment Surveys
    Journal of Educational and Behavioral Statistics, 2014, 39, (4), 235-256 View citations (5)
12. Additive Multilevel Item Structure Models with Random Residuals: Item Modeling for Explanation and Item Generation
    Psychometrika, 2014, 79, (1), 84-104 View citations (3)
13. Composition, Context, and Endogeneity in School and Teacher Comparisons
    Journal of Educational and Behavioral Statistics, 2014, 39, (5), 333-367 View citations (12)
14. Handling Correlations Between Covariates and Random Slopes in Multilevel Models
    Journal of Educational and Behavioral Statistics, 2014, 39, (6), 524-549 View citations (6)
15. Handling initial conditions and endogenous covariates in dynamic/transition models for binary data with unobserved heterogeneity
    Journal of the Royal Statistical Society Series C, 2014, 63, (2), 211-237 View citations (47)
16. Missing ordinal covariate with informative selection
    Journal of the Royal Statistical Society Series A, 2014, 177, (2), 319-344
    See also Working Paper Missing ordinal covariates with informative selection, DoQSS Working Papers (2010) View citations (1) (2010)
17. Protective estimation of mixed-effects logistic regression when data are not missing at random
    Biometrika, 2014, 101, (1), 175-188 View citations (2)

2013

18. A Nondegenerate Penalized Likelihood Estimator for Variance Parameters in Multilevel Models
    Psychometrika, 2013, 78, (4), 685-709 View citations (18)
19. Avoiding biased versions of Wooldridge’s simple solution to the initial conditions problem
    Economics Letters, 2013, 120, (2), 346-349 View citations (124)
20. Incorporating Student Covariates in Cognitive Diagnosis Models
    Journal of Classification, 2013, 30, (2), 195-224 View citations (2)
21. Modeling Differential Item Functioning Using a Generalization of the Multiple-Group Bifactor Model
    Journal of Educational and Behavioral Statistics, 2013, 38, (1), 32-60 View citations (5)

2012

22. Modeling Achievement Trajectories When Attrition Is Informative
    Journal of Educational and Behavioral Statistics, 2012, 37, (6), 703-736 View citations (4)
23. Profile-Likelihood Approach for Estimating Generalized Linear Mixed Models With Factor Structures
    Journal of Educational and Behavioral Statistics, 2012, 37, (4), 518-542 View citations (4)

2011

24. Alternating imputation posterior estimation of models with crossed random effects
    Computational Statistics & Data Analysis, 2011, 55, (1), 12-25 View citations (11)
25. Measuring School Value Added with Administrative Data: The Problem of Missing Variables
    Fiscal Studies, 2011, 32, (2), 263-278 View citations (10)
    See also Working Paper Measuring school value added with administrative data: the problem of missing variables, DoQSS Working Papers (2011) View citations (10) (2011)

2009

26. Prediction in multilevel generalized linear models
    Journal of the Royal Statistical Society Series A, 2009, 172, (3), 659-687 View citations (56)

2008

27. Biometrical Modeling of Twin and Family Data Using Standard Mixed Model Software
    Biometrics, 2008, 64, (1), 280-288 View citations (21)

2007

28. Estimating parameters of dichotomous and ordinal item response models with gllamm
    Stata Journal, 2007, 7, (3), 313-333 View citations (19)
29. Latent Variable Modelling: A Survey*
    Scandinavian Journal of Statistics, 2007, 34, (4), 712-745 View citations (60)
30. Multilevel and Latent Variable Modeling with Composite Links and Exploded Likelihoods
    Psychometrika, 2007, 72, (2), 123-140 View citations (7)
31. Redundant Overdispersion Parameters in Multilevel Models for Categorical Responses
    Journal of Educational and Behavioral Statistics, 2007, 32, (4), 419-430 View citations (2)

2006

32. 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 (148)
33. Multilevel modelling of complex survey data
    Journal of the Royal Statistical Society Series A, 2006, 169, (4), 805-827 View citations (81)
    See also Working Paper Multilevel modeling of complex survey data, West Coast Stata Users' Group Meetings 2007 (2007) View citations (3) (2007)

2005

34. Maximum likelihood estimation of limited and discrete dependent variable models with nested random effects
    Journal of Econometrics, 2005, 128, (2), 301-323 View citations (198)

2004

35. Generalized multilevel structural equation modeling
    Psychometrika, 2004, 69, (2), 167-190 View citations (140)

2003

36. Maximum likelihood estimation of generalized linear models with covariate measurement error
    Stata Journal, 2003, 3, (4), 386-411 View citations (14)
37. Multilevel logistic regression for polytomous data and rankings
    Psychometrika, 2003, 68, (2), 267-287 View citations (38)

2002

38. Reliable estimation of generalized linear mixed models using adaptive quadrature
    Stata Journal, 2002, 2, (1), 1-21 View citations (116)

2001

39. Parameterization of Multivariate Random Effects Models for Categorical Data
    Biometrics, 2001, 57, (4), 1256-1263 View citations (16)

2000

40. Generalized linear latent and mixed models
    Stata Technical Bulletin, 2000, 9, (53) View citations (12)

Books

2012

1. Multilevel and Longitudinal Modeling Using Stata, 3rd Edition
   Stata Press books, StataCorp LLC View citations (338)

Software Items

2013

1. LCMC: Stata module to estimate latent class missing covariate model for continous main response, ordinal covariate with missing values, and informative selection
   Statistical Software Components, Boston College Department of Economics

2011

2. GLLAMM: Stata program to fit generalised linear latent and mixed models
   Statistical Software Components, Boston College Department of Economics View citations (1)

2008

3. CI_MARG_MU: Stata module to produce simulation-based confidence intervals after gllapred
   Statistical Software Components, Boston College Department of Economics

2006

4. 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

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