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- Statistical modelling of a terrorist network. Journal of the Royal Statistical Society: Series A (Statistics in Society) 2017. 180:751-768 .
- A new Bayesian approach for determining the number of components in a finite mixture. METRON 2015. 73:155-176 .
- Comments on the review of $Statistical inference$. Statistics & Decisions 2013. 30:121-132 .
- Bayesian model comparison and model averaging for small-area estimation. The Annals of Applied Statistics 2009. 3:199-221 .
- Applications of the Bayesian bootstrap in finite population inference. Journal of Official Statistics 2008. 24:21-51 .
- Bayes factors: Prior sensitivity and model generalizability. Journal of Mathematical Psychology 2008. 52:362-375 .
- Variance component models for longitudinal count data with baseline information: Epilepsy data revisited. Statistics and Computing 2006. 16:231-238 .
- Bayesian point null hypothesis testing via the posterior likelihood ratio. Statistics and Computing 2005. 15:217-230 .
- A general maximum likelihood analysis of measurement error in generalized linear models. Statistics and Computing 2002. 12:163-174 .
- Still-births among the offspring of male radiation workers at the Sellafield nuclear reprocessing plant: Detailed results and statistical aspects. Journal of the Royal Statistical Society: Series A (Statistics in Society) 2002. 165:523-548 .
- Likelihood and Bayesian analysis of mixtures. Statistical Modelling: An International Journal 2001. 1:287-304 .
- Random coefficient models for binary longitudinal responses with attrition. Statistics and Computing 2000. 10:279-287 .
- Meta-analysis by random effect modelling in generalized linear models. Statistics in Medicine 1999. 18:2343-2351 .
- A general maximum likelihood analysis of variance components in generalized linear models. Biometrics 1999. 55:117-128 .
- A general maximum likelihood analysis of variance components in generalized linear models. Biometrics 1999. 55:117-128 .
- Simpson's paradox and the Bayes factor. Journal of the Royal Statistical Society, Series B: Statistical Methodology 1998. 60:269-270 .
- Simpson’s paradox and the Bayes factor. Journal of the Royal Statistical Society: Series B (Statistical Methodology) 1998. 60:269-270 .
- Regression models for binary longitudinal responses. Statistics and Computing 1998. 8:289-307 .
- Reply to comment on ``The calibration of $P$-values, posterior Bayes factors and the AIC from the posterior distribution of the likelihood''. Statistics and Computing 1997. 7:271-272 .
- Random effect extensions of generalized linear models. .
- The calibration of $P$-values, posterior Bayes factors and the AIC from the posterior distribution of the likelihood (Disc: p263-272). Statistics and Computing 1997. 7:253-261 .
- A new test for the presence of a normal mixture distribution based on the posterior Bayes factor. Statistics and Computing 1996. 6:121-125 .
- Comment on ``Simple counterexamples against the conditionality principle'' (95V49 p351-356) [Letter]. The American Statistician 1996. 50:384-385 .
- The background of a textbook example: A short history of a Vietnam War attitude survey. Stats 1996. :3-11 .
- A hybrid EM/Gauss-Newton algorithm for maximum likelihood in mixture distributions. Statistics and Computing 1996. 6:127-130 .
- A general maximum likelihood analysis of overdispersion in generalized linear models. Statistics and Computing 1996. 6:251-262 .
- NPML estimation of the mixing distribution in general statistical models with unobserved random effects. .
- Comment on ``The statistics of linear models: Back to basics'' (V4 p221-234). Statistics and Computing 1995. 5:85-86 .
- Probability model choice in single samples from exponential families using Poisson log-linear modelling, and model comparison using Bayes and posterior Bayes factors. Statistics and Computing 1995. 5:113-120 .
- Posterior Bayes factor analysis for an exponential regression model. Statistics and Computing 1993. 3:17-22 .
- An analysis of models for the dilution and adulteration of fruit juice. Statistics and Computing 1993. 3:89-99 .
- Model choice in contingency table analysis using the posterior Bayes factor. Computational Statistics & Data Analysis 1992. 13:245-251 .
- Evidence and the posterior Bayes factor. The Mathematical Scientist 1992. 17:15-25 .
- Fitting the multinomial logit model with continuous covariates in GLIM. Computational Statistics & Data Analysis 1992. 14:89-97 .
- Posterior Bayes factors (Disc: p128-142). Journal of the Royal Statistical Society, Series B: Methodological 1991. 53:111-128 .
- Likelihood analysis of a binomial sample size problem. .
- Canonical likelihoods: A new likelihood treatment of nuisance parameters. Biometrika 1987. 74:45-58 .
- Modelling variance heterogeneity in normal regression using GLIM. Applied Statistics 1987. 36:332-339 .
- Statistical modelling: The likelihood approach. The Statistician: Journal of the Institute of Statisticians 1986. 35:103-113 .
- Variance component models with binary response: Interviewer variability. Journal of the Royal Statistical Society, Series B: Methodological 1985. 47:203-210 .
- Statistical modelling of unemployment rates from the EEC labour force survey. Journal of the Royal Statistical Society, Series A: General 1985. 148:45-56 .
- Estimation and hypothesis testing in finite mixture models. Journal of the Royal Statistical Society, Series B: Methodological 1985. 47:67-75 .
- Comments on ``Multivariate generalizations of the proportional hazards model''. Journal of the Royal Statistical Society, Series A: General 1985. 148:110-111 .
- Comments on D. J. Bartholomew, Foundations of factor analysis: some practical implications. British Journal of Mathematical and Statistical Psychology 1985. 38:134-137 .
- Comments on ``Foundations of factor analysis: Some practical implications''. British Journal of Mathematical and Statistical Psychology 1985. 38:127-128 .
- Reply to comments on ``A reanalysis of the Stanford heart transplant data''. Journal of the American Statistical Association 1983. 78:291-292 .
- GLIM4 - Directions for development. .
- Comments on ``Formal and informal teaching: A further re-consideration of Professor Bennett's statistics''. Journal of the Royal Statistical Society, Series A: General 1983. 146:170-171 .
- A reanalysis of the Stanford heart transplant data (C/R: p275-292). Journal of the American Statistical Association 1983. 78:264-274 .
- A method of fitting the gravity model based on the Poisson distribution. Journal of Regional Science 1982. 22:191-202 .
- Direct likelihood inference. .
- Comments on ``Interactive regression modelling''. Biometrics 1982. 38:511-513 .
- Regression models for repeated measurements. Biometrics 1981. 37:831-832 .
- Statistical modelling of data on teaching styles (with discussion). Journal of the Royal Statistical Society, Series A: General 1981. 144:419-461 .
- A note on the regression analysis of censored data. Technometrics 1981. 23:161-163 .
- Marginal maximum likelihood estimation of item parameters: Application of an EM algorithm (Corr: V47 p369). Psychometrika 1981. 46:443-459 .
- Mixture models, outliers, and the EM algorithm (Corr: V23 p427). Technometrics 1980. 22:325-331 .
- The fitting of exponential, Weibull and extreme value distributions to complex censored survival data using GLIM. Applied Statistics 1980. 29:156-163 .
- A note on the selection of log-linear models. Biometrics 1980. 36:173-178 .
- A simultaneous test procedure for contingency table models (Corr: 80V29 p92). Applied Statistics 1979. 28:233-242 .
- The analysis of unbalanced cross-classifications (C/R: p212-223; Corr: 79V142 p404). Journal of the Royal Statistical Society, Series A: General 1978. 141:195-211 .
- Reply to comments on ``The analysis of unbalanced cross-classifications''. Journal of the Royal Statistical Society, Series A: General 1978. 141:219-223 .
- Comments on ``The inverse Gaussian distribution and its statistical application: A review''. Journal of the Royal Statistical Society, Series B: Methodological 1978. 40:281-283 .