Books

** Statistical Modeling of the National Assessment of Educational Progress
** (with I. Aitkin), Springer (2011).

** Statistical Inference: an Integrated Bayesian/Likelihood
Approach**, Chapman and Hall/CRC Press (2010).

** Statistical Modelling in R **(with B.J. Francis, J.P.
Hinde and R.E. Darnell), Oxford University Press (2009).

** Statistical Modelling in GLIM4 **(with B.J. Francis
and J.P. Hinde), Oxford University Press (2005).

** Statistical Modelling in GLIM **(with D. A. Anderson,
B.J. Francis and J.P. Hinde), Oxford University Press (1989).

Book Chapters

The EM algorithm and extensions. In ** Handbook of Psychometrics** vol 2, eds. W. van der Linden and R. Hambleton, Taylor and Francis (to appear 2015).

How many components in a finite mixture? in ** Mixture Estimation and
Applications**, eds. K.L. Mengersen, C.P. Robert and D.M. Titterington. Wiley, New
York, pp. 277-292 (2011).

Bayesian inference for factor scores. (with I. Aitkin) in **
Contemporary Psychometrics. A Festschrift to Roderick P. McDonald**, eds. A.
Maydeu-Olivares, and J.J. McArdle. Lawrence Erlbaum Associates, Mahwah, NJ, pp. 207-222
(2005).

Profile likelihood. in ** Encyclopedia of Biostatistics**.
John Wiley, New York (1998).

Curricular change and science achievement in Israeli
elementary schools. (with R. Zuzovsky) in ** Pupils, Classrooms and Schools:
International Studies of Schooling from a Multilevel Perspective**, eds. D. Willms and
S. Raudenbush, Academic Press, San Diego, 25-36 (1991).

Likelihood analysis of a binomial sample size problem. (with
M. Stasinopoulos) in ** Contributions to Probability and Statistics: Essays in Honor
of Ingram Olkin**, eds. Gleser, L.J., Perlman, M. D., Press, S. J. and Sampson, A.R.
Springer-Verlag, New York, 399-411 (1989).

Statistical theory (behavioral science application). ** Ann.
Rev. Psych. 22**, 225-250 (1971).

Research papers

Variational algorithms for biclustering models. (with D. Vu) **Annals of Applied Statistics** (to appear 2015).

Statistical modelling of the group structure of social networks. (with D. Vu and B. Francis) ** Social Networks 38**, 74-87 (2014).

Comments on the review of ** Statistical Inference**. ** Statistics and Risk Modeling 30**, 121-132 (2013).

Bayesian model comparison and model averaging for small-area
estimation. (with C.C. Liu and T. Chadwick)** Annals of Applied Statist. 3 **, 199-221 (2009).

Bayes factors: prior sensitivity and model generalizability.
(with C.C. Liu)** J. Math. Psych 52**, 362-375 (2008).

Bayesian bootstrap analysis of regression in finite population
survey data with stratification and clustering. ** J. Official
Statistics 24**, 21-51 (2008).

Variance component models for longitudinal count data with
baseline information: epilepsy data revisited. (with M. Alfo') **
Statist. and Computing 16**, 231-238 (2006).

Bayesian point null hypothesis testing via the posterior
likelihood ratio. (with R.J. Boys and T. Chadwick) ** Statist.
and Computing 15**, 217-230 (2005).

Statistical modelling of artificial neural networks using the
multi-layer perceptron. (with R. Foxall) ** Statist. and
Computing 13**, 227-239 (2003).

Stillbirths among the offspring of male radiation workers at
the Sellafield nuclear reprocessing plant: detailed results and
statistical aspects. (with M.S. Pearce, H.O. Dickinson and L.
Parker) **J. Roy. Statist. Soc. A 165**, 523-548 (2002).

A general maximum likelihood analysis of measurement error in
generalized linear models. (with R. Rocci) **Statist. and
Computing 12**, 163-174 (2002).

Likelihood and Bayesian analysis of mixtures. **Statistical
Modelling 1**, 287-304 (2001).

Random coefficient models for binary longitudinal responses
with attrition. (with M. Alfo') **Statist. and Computing 10**,
275-283 (2000).

A general maximum likelihood analysis of variance components
in generalized linear models. ** Biometrics 55**, 117-128 (1999).

Meta-analysis by random-effect modelling in generalized linear
models. ** Statist. in Med. 18**, 2343-2351 (1999).

Simpson's paradox and the Bayes factor. ** J. Roy. Statist.
Soc B 60**, 269-270 (1998).

Regression models for binary longitudinal responses. (with M.
Alfo') ** Statist. and Computing 8**, 289-307 (1998).

The calibration of P-values, posterior Bayes factors and the
AIC from the posterior distribution of the likelihood (with
Discussion). ** Statist. and Computing 7**, 253-272 (1997).

A hybrid EM/Gauss-Newton algorithm for maximum likelihood in
mixture distributions. (with I. Aitkin) ** Statist. and Computing
6**, 127-130 (1996).

A general maximum likelihood analysis of overdispersion in
generalized linear models. ** Statist. and Computing 6**, 251-262
(1996).

Comment on I.S. Helland. [Simple counterexamples against the
conditionality principle.] ** Amer. Statist. 50**, 384-385 (1996).

Modelling variance heterogeneity in normal regression using
GLIM. ** Appl. Statist. 36**, 332-339 (1987).

Variance component models with binary response: interviewer
variability. (with D.A. Anderson) ** J. Roy. Statist. Soc. B 47**, 203-210 (1985).

Estimation and hypothesis testing in finite mixture models.
(with D.B. Rubin) ** J. Roy. Statist. Soc. B 47**, 67-75 (1985).

A reanalysis of the Stanford Heart Transplant data (with
discussion). (with N.M. Laird and B.J. Francis) ** J. Amer. Statist. Assoc. 77**,
264-292 (1983).

Marginal maximum likelihood estimation of item parameters:
an application of an EM algorithm. (with R.D. Bock) ** Psychometrika 46**, 443-459
(1981).

Statistical modelling of data on teaching styles (with
Discussion). (with D.A. Anderson and J.P. Hinde) **J. Roy. Statist. Soc. A 144**,
419-461 (1981).

The fitting of exponential, Weibull and extreme value
distributions to complex censored survival data using GLIM. (with D. Clayton) **
Appl. Statist. 29**, 156-163 (1980).

Mixture models, outliers and the E-M algorithm. (with G.T.
Wilson) **Technometrics 22**, 325-331 (1980).

The analysis of unbalanced cross-classifications (with
Discussion). **J. Roy. Statist. Soc. A 141**, 195-223 (1978).

Simultaneous inference and the choice of variable subsets
in multiple regression. ** Technometrics 16**, 221-227 (1974).

Fixed-width confidence intervals in linear regression with
applications to the Johnson-Neyman technique. ** Brit. J. Math. and Statist. Psych.
26**, 261-269 (1973).

Multiple comparisons in psychological experiments. ** Brit.
J. Math. and Statist. Psych. 22**, 193-198 (1969).

Major consulting papers

Do OFSTED inspections of secondary schools make a difference
to GCSE results? (with I. Shaw, D.P. Newton and R. Darnell)
**Brit. Educ. Res. J.29**, 63-75 (2003).

Multilevel longitudinal analysis of IEA studies on science
achievement using SISS and TIMSS data. (with R. Zuzovsky) **
International Journal of Educational Policy, Research and Practice
1**, 243-259 (2000).

Ambulatory blood pressure in children. (with J.J. O'Sullivan,
G. Derrick, P. Griggs, R. Foxall and C. Wren) ** Archives of
Disease in Childhood 80**, 529-532 (1999).

Stillbirths among the offspring of male radiation workers at
the Sellafield nuclear reprocessing plant. (with L. Parker, M.S.
Pearce, H.O Dickinson, H.O. and A.W. Craft) ** The Lancet 354**,
1407-1414 (1999).

A comparison of random coefficient modelling and geographically
weighted regression for spatially non-stationary regression problems. (with C. Brunsdon,
S. Fotheringham and M. Charlton) **Geographical and Environmental Modelling 3**,
47-62 (1999).

Detailed modelling of caffeine metabolism and examination of
the CYP1A2 gene: lack of a polymorphism in CYP1A2 in Caucasians.
(with M.R. Welfare, M.F. Bassendine and A.K. Daly) **
Pharmacogenetics 9 **, 367-375 (1999).

An analysis of models for the dilution and adulteration of
fruit juice. (with C. Fuchs) ** Statist. and Computing 3**, 89-99 (1993).

Multilevel interaction models and their use in the analysis
of large-scale school effectiveness studies. (with R. Zuzovsky) ** School Effectiveness
and School Improvement 5**, 45-73 (1994).

Using a multi-level model and an indicator system in science
education to assess the effect of school treatment on student achievement. (with R.
Zuzovsky) ** School Effectiveness and School Improvement 1**, 121-138 (1990).

Statistical modelling issues in school effectiveness studies
(with Discussion). (with N.T. Longford) ** J. Roy. Statist. Soc. A 149**, 1-43 (1986).

Statistical modelling of unemployment rates from the EEC Labour
Force Survey. (with R. Healey) ** J. Roy. Statist. Soc. A 148**, 45-56 (1985).

Teaching styles and pupil progress: a reanalysis. (with N.
Bennett and J. Hesketh) ** Brit. J. Educ. Psych. 51**, 170-186 (1981).

Structural analysis of the ridge count data of Australian
Europeans using multivariate analysis. (with S. Singh and N.H. Westwood)** Acta Genet.
Med. Gemellol. (Roma) 26**, 167-171 (1977).

Self-regard and size of human figure drawings: an
interactional analysis. (with L. Viney and J. Floyd) ** J. Clin. Psych. 30**,
581-586 (1974).

General interest papers

A short history of a Vietnam War attitude survey. ** Stats 17**,
1-9 (1996).

Unpublished technical reports for US Department of Education

Identification of Ability Distributions in IRT Models for NAEP Items (March 2004).

Comparison of Direct Estimation with the Conditioning Model and Plausible Value Imputation, (September 2004).

Multi-level Model Analysis of the Knowledge and Skills Scale of the NAEP 1986 Math Test (March 2005).

Comparison of Joint and Separate Estimation Analyses of the Knowledge and Skills Scale of the NAEP 1986 Math Test (July 2005).

Investigation of the Ability Distribution in the NAEP 1986 Math Survey (June 2006).

Investigation of the Identifiability of the 3PL Model in the NAEP 1986 Math Survey (November 2006).

Efficient Maximum Likelihood Estimation in Large-Scale Multilevel Models (December 2006).

Investigation of Alternative Models for Guessing (September 2007).

Multidimensional Abilities (April 2008).

Development of Tools for the Analysis of NAEP data

Model Identification of Student, School and Interaction Factors Affecting Item Responses on the 2005 NAEP Math Test (February 2009).

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