Worked Examples using gllamm
Tutorial
Review
Worked examples for papers
 King, G., Murray, C.J.L., Salomon, J.A. and Tandon, A. (2003).
Enhancing the Validity and CrossCultural Comparability of Survey Research.
American Political Science Review 97, 567583.
 Thompson, R. and Baker, R. J. (1981).
Composite link functions in generalized linear models.
Journal of the Royal Statistical Society, Series C, 30 (2), 125131.
Worked examples for books

De Boeck, P. and Wilson, M. (Eds.) (2004). Explanatory Item Response
Models: A Generalized Linear and Nonlinear Approach. New York: Springer.

Hox, J. (2002). Multilevel Analysis Techniques and Applications. Erlbaum.
Textbook Examples at UCLA Technology Services:

Skrondal, A. and RabeHesketh, S. (2004). Generalized Latent
Variable Modeling: Multilevel, Longitudinal and Structural Equation
Models. Chapman & Hall/CRC.
Stata Journal papers containing examples using gllamm

Zheng, X. and RabeHesketh, S. (2007).
Estimating parameters of dichotomous and
ordinal item response models using gllamm.
The Stata Journal 7 (3), 313333.
Datasets and dofiles: Use these commands in Stata:
net sj 73 st0129
net get st0129

Miranda, A. and RabeHesketh, S. (2006).
Maximum likelihood estimation
of endogenous switching and sample selection models for binary, count,
and ordinal variables.
The Stata Journal 6 (3), 285308.
Datasets and dofiles: Use these commands in Stata:
net sj 63 st0107
net install st0107

RabeHesketh, S. and Skrondal, A. and Pickles, A. (2003). Maximum likelihood estimation of generalized
linear models with covariate measurement error.
The Stata Journal 3 (4), 385410.
Datasets and dofiles: Use these commands in Stata:
net sj 34 st0052
net get st0052
 RabeHesketh, S., Skrondal, A. and Pickles, A. (2002).
Reliable estimation of
generalized linear mixed models using adaptive quadrature.
The Stata Journal 2 (1), 121.
Datasets and dofiles: Use these commands in Stata:
net sj 21 st0005
net get st0005
Datasets and dofile using gllamm
(These may turn into "proper worked examples" in the future)
Papers

Jeon, M., Rijmen, F. and RabeHesketh (in press).
Modeling differential item functioning using a generalization of the multiplegroup
bifactor model. Journal of Educational and Behavioral Statistics.

Francavilla, F., Giannelli, G.C. and Grilli, L. (in press). Mothers' employment and their children's schooling:
a joint multilevel analysis for India. World Development.

Jeon, M. and RabeHesketh, S. (2012).
Profilelikelihood approach for estimating
generalized linear mixed models with factor structures.
Journal of Educational and Behavioral Statistics 37 (4), 518542.
 RabeHesketh, S. Skrondal, A. and Gjessing, H. K. (2008).
Biometrical
modeling of twin and family data using standard mixed model
software. Biometrics 64 (1), 280288. Local

Bagos, P. G. (2008).
A unification of multivariate methods for metaanalysis of genetic association studies.
Statistical Applications in Genetics and Molecular Biology 7 (1), Article 31.
 RabeHesketh, S. and Skrondal, A. (2006).
Multilevel modeling of
complex survey data. Journal of the Royal Statistical Society, Series A
169 (4), 805827. Local
 Skrondal, A. and RabeHesketh, S. (2003).
Multilevel logistic regression for polytomous data and rankings.
Psychometrika 68, 267287. Local
Chapters

RabeHesketh, S. and Skrondal, A. (2008).
Generalized linear mixed effects models. In G. Fitzmaurice,
M. Davidian, G. Verbeke and G. Molenberghs (Eds.). Longitudinal Data Analysis:
A Handbook of Modern Statistical Methods. Boca Raton, FL: Chapman & Hall/CRC,
Chapter 4, pp. 79106.

RabeHesketh, S. and Skrondal, A. (2010).
Generalized linear mixed models. Penelope Peterson, Eva Baker, Barry McGaw (Eds.),
International Encyclopedia of Education (Third Edition).
Oxford: Elsevier, volume 7, pp. 171177.
Books
 Skrondal, A. and RabeHesketh, S. (2004). Generalized Latent
Variable Modeling: Multilevel, Longitudinal and Structural Equation
Models. Chapman & Hall/CRC.

Dohoo, I., Martin, W. and Stryhn, H. (2003). Veterinary Epidemiological Research. University of Prince Edward Island.
Talks

Sophia RabeHesketh (2012).
Understanding variability in multilevel models for categorical responses.
Keynote lecture (HLM SIG) at the 2012 American Educational Research Association Annual Meeting,
Vancouver, Canada.

Sophia RabeHesketh (2010).
Biometrical modeling of twin and family data in Stata.
German Stata Users
Group Meeting. Berlin Graduate School of Social Sciences, Berlin, Germany.

Sophia RabeHesketh (2009)
Multilevel modeling of ordinal responses
. Mexican Stata Users Group Meeting,
Mexico City, Mexico.
 Sophia RabeHesketh and Anders Skrondal (2008).
Prediction in Multilevel Logistic Regression.
West Coast Stata Users Group Meeting, San Francisco, CA
 Sophia RabeHesketh et al. (2004).
Generalized latent class modeling using gllamm.
North American Stata Users Group Meeting, Boston, MA
Contributions very welcome!
(please email them to Sophia RabeHesketh)
