| Preface | |
| NPML estimation of the mixing distribution in general statistical models with unobserved random effects | p. 1 |
| Some topics in optimum experimental design for generalized linear models | p. 11 |
| Autoregressive modelling of Markov chains | p. 19 |
| A case-study on accuracy of cytological diagnosis | p. 27 |
| Dynamics and correlated responses in longitudinal data models | p. 35 |
| Bootstrap methods for generalized linear mixed models with applications to small area estimation | p. 43 |
| Confidence intervals for threshold parameters | p. 53 |
| Optimal design for models incorporating the Richards function | p. 61 |
| Mixed Markov renewal models of social processes | p. 67 |
| Statistical inference based on a general model of unobserved heterogeneity | p. 75 |
| An extended model for paired comparisons | p. 83 |
| Indirect observations, composite link models and penalized likelihood | p. 91 |
| Model estimation in nonlinear regression | p. 99 |
| Pearson statistics, goodness of fit, and overdispersion in generalised linear models | p. 109 |
| M-estimation: Some remedies | p. 117 |
| Subject-specific and population-averaged questions for log-linear regression data | p. 125 |
| Radon and lung cancer mortality: An example of a Bayesian ecological analysis | p. 133 |
| IRREML, a tool for fitting a versatile class of mixed models for ordinal data | p. 141 |
| Towards a general robust estimation approach for generalised regression models | p. 151 |
| Comparing local fitting to other automatic smoothers | p. 161 |
| Iterative reweighted partial least squares estimation for GLMs | p. 169 |
| Protective estimation of longitudinal categorical data with nonrandom dropout | p. 177 |
| Analysis of counts generated by an age-dependent branching process | p. 185 |
| Quantitative risk assessment for clustered binary data | p. 193 |
| Optimal design and lack of fit in nonlinear regression models | p. 201 |
| Nonparametric regression, kriging and process optimization | p. 207 |
| Frailty in multiplicative intensity models | p. 215 |
| Methods for assessing the adequacy of probability prediction models | p. 225 |
| Forecast methods in regression models for categorical time series | p. 233 |
| Standard errors, correlations and model analysis | p. 241 |
| Mean and dispersion additive models: Applications and diagnostics | p. 249 |
| Computational aspects in maximum penalized likelihood estimation | p. 257 |
| Risk estimation using a surrogate marker measured with error | p. 267 |
| Estimating attributable risks under an arithmetic mixture model | p. 277 |
| A nonparametric method for detecting neural connectivity | p. 287 |
| On the design of accelerated life testing experiments | p. 297 |
| Splitting criteria in survival trees | p. 305 |
| The different parameterizations of the GEE1 and GEE2 | p. 315 |
| List of authors | p. 325 |
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