
21st International Workshop on Statistical Modelling, Galway, 2006, Proceedings
J. Hinde, J. Einbeck, and J. Newell (Eds.)
Proceedings of the 21st International Workshop on Statistical Modelling. Galway, Ireland, 37 July 2006
ISBN 1862201803
[ Download Proceedings (10,1 MB) ]
Contents
Part I: Invited Papers
 Claeskens, G.
 On focussed and less focussed model selection
 Fitzmaurice, G.M.
 Methods for handling dropout in longitudinal data analysis
 Haslett, J., Parnell, A., and SalterTownshend, M.
 Modelling temporal uncertainty in palaeoclimate reconstructions
 Held, L.
 Quantitative assessment of probabilistic forecasts with applications in epidemiology
 Morgan, B.J.T.
 New methods for including covariates in models for the survival of wild animals
Part II: Contributed Papers
 Amaral Turkman, M.A., Goncalves, L., and ZéZé, L.
 A full Bayesian approach to physical maps of circular genomes  Application to the genome of o. oeni strain GM
 Armero, C., LópezQuílez, A., and LópezSánches, R.
 Bayesian evaluation of times to diagnosis in women with mammograms indicating suspicion of malignancy
 Bailey, T.C., and McKinley, T.J.
 Spatial survival modelling and the 2001 UK footandmouth disease epidemic
 Barry, S., and Bowman, A.
 Longitudinal models for shape data
 Cakmak, S., Li, W., Blanco, C., Farnandez, M., and Burnett, R.
 A measure of progress in air quality management: air health indicator
 Calle, M.L., Espinal, A., and Gómez, G.
 Analyzing sequential spells via conditional survival models
 Castillo, J., and Daoudi, J.
 Volatility control on the tails of returns
 Cazzaro, M., and Colombi, R.
 Marginal modelling of contingency tables with recursive logits and odds ratios
 Cecere, S., jara, A., and Lesaffre, E.
 Association structure and ranking of emergence times of permanent teeth: modelling the covariance matrix with intervalcensored data
 Cruyff, M.J.L.F., van den Hout, A., van der Heijden, P.G.M., and Böckenholt, U.
 A loglinear randomizedresponse model to account for cheating
 Dahyot, R.
 Bayesian inferences for object detection
 Dasu, T., Pelletier, J., and Wright, J.
 Statistics for network management
 Debusho, L.K., and Haines, L.M.
 Optimal design for linear mixed models
 Durban, M., Currie, I., and Eilers, P.H.C.
 Mixed models, array methods and multidimensional density estimation
 Eilers, P.H.C., and Marx, B.D.
 Multidimensional density smoothing with Psplines
 Escaramís, G., and Carrasco, J.L.
 Approximations for the MSE of random effects in a GLMM estimated by PQL
 Escarela, G., Mena, R.H., and CastilloMorales, A.
 Modelling nonGaussian time series with a mixture copula transition model
 Fenlon, J.S., and Faddy, M.J.
 Markov modelling of temporallyordered functional response data
 Finselbach, H.K., and Watkins, A.J.
 The reliability of censored reliability analyses
 Firth, D., and Turner, H.L.
 Generalized nonlinear models, and overparameterized representation
 Ganjali, M., Berridge, D., and Penn, R.
 A longitudinal transition ordered response model for analyzing the change of attitudes to gender roles
 Greven, S., Küchenhoff, H., and Peters, A.
 Additive mixed models with Psplines
 Ha, I.D., Lee, Y., and MacKenzie, G.
 Model selection for frailty structures
 Hawkins, M.J., Hyde, B.P., Ryan, M., Schulte, R.P.O, and Connolly, J.
 An empirical model and scenario analysis of nitrous oxide emissions from a fertilised and grazed temperate grassland site
 Heiner, K., and Hinde, J.
 Exponential family mixtures in total quality health care monitoring
 Heller, G., Stasinopoulos, M., Rigby, B.
 The zeroadjusted Inverse Gaussian distribution as a model for insurance claims
 van den Hout, A., van der Heijden, P.G.M., Gilchrist, R.
 A multivariate logistic regression model for randomized response data
 Hrdlicková, Z.
 Prediction of risk of sepsis based on deviance in MGLM
 Hsu, C.H.
 Modelling of recurrence of adenomas: a latent variable approach
 Kaczmarek, Z., and Adamska, E.
 Simultaneous analysis of variables observed in a series of trials
 Kandilorou, H.
 A latent variable model for Australian student's creativity
 Kazemi, I.
 Linear mixedeffects modelling of panel data: a cautionary note
 Kelly, G.E., and Condon, J.
 Survival models for recurrent events in the estimation of the effect of badger culling on tuberculosis in Irish cattle herds
 Kirkby, J., and Currie, I.
 Modelling mortality data on the Lexis diagram
 Kneib, T., and Hennerfeind, A.
 A nonparametric multistate model for the analysis of human sleep
 Kosmidis, I.
 Bias reduction and shrinkage in multinomial logit models
 Krivobokova, T., Crainiceanu, C.M., and Kauermann, G.
 Computationally efficient spatiallyadaptive penalized splines
 Kulinskaya, E., and Staudte, R.G.
 A model for combining evidence in several tstatistics to estimate an overall standardized effect
 Lambert, P., and Eilers, P.H.C.
 Bayesian multidimensional density estimation with Psplines
 Lang, J.B.
 Applications of profile confidence intervals for contingency table parameters
 Livingstone, V., and Jordan, C.
 Product partition models and clustering
 Lynch, C., and Barry, D.
 Estimating the probability distribution of gamblers by observing betting practices
 MacNab, Y.C., and Gustafson, P.
 Spline smoothing in Bayesian disease mapping
 Maringwa, J.T., Geys, H., Shkedy, Z., Faes, C., Molenberghs, G., Aerts, M., Van Ammel, K., Teisman, A., Bijnens, L.
 Analysis of a cardiovascular safety experiment with longitudinal data using penalized smoothing splines
 Mendes, J.M., and Turkman, K.F.
 Bayesian hierarchical models for hake stocks
 Mercatanti, A.
 A constrained maximum likelihood estimation for relaxing the exclusion restriction in causal inference
 Militino, A.F., Ugarte, M.D., GonzálesRamajo, B., LópezSagaseta, M., and Goicoa, T.
 Analysing the performance of alternative unemployment estimators in small areas
 Morales, J., Castellanos, M.E., Mayoral, A.M., Fried, R., and Armero, C.
 Bayesian modelling of finitesource queueing systems
 Morris, D., Brown, P.J., and Griffin, J.E.
 Bayesian factor analysis applied to microarray data
 Morris, D., and Ombredane, D.
 Modelling the spatial dynamics of a population of trout using multistate capturerecapture methods
 Muggeo, V.M.R.
 Modelling threshold parameter as a function of covariates in segmented regression
 MuntésMulero, V., PérezCassany, M., AguilarSaborit, J., and LarribaPey, J.L.
 Modelling genetic methods for data search strategies with ANOVA
 Neubauer, G., and Friedl, H.
 Modelling sample sizes of frequencies
 O'Kelly, M.
 A comparison of SAS and R software for performing robust regression
 Oskrochi, G., and Shamley, D.
 Analysing the effect of breast cancer treatment on shoulder complexity: a multivariate random effects modelling approach
 Proust, C., and JacqminGadda, H.
 A nonlinear latent class model for joint analysis of multiple longitudinal outcomes and a clinical event
 Puig, P.
 Appropriate statistical models for analysis of ratios
 Purutcuoglu, V., and Wit, E.
 Stochastic simulation of the MAPK signalling pathway
 Rea, W., Reale, M., Cappelli, C., Brown, J.
 Identification of level shifts in stationary processes
 Reed, W.J.
 Analyzing forest fire scar data
 SalterTownshend, M., and Haslett, J.
 Modelling zero inflation of compositional data
 Scarrott, C., TunnicliffeWilson, G., and Tawn, J.
 Extreme value modelling of reactor risk
 Schimek, M.G., and Pavlík, T.
 A comparative study of false discovery rate procedures in R
 Sofroniou, N., Einbeck, J., and Hinde, J.
 Analyzing Irish suicide rates with mixture models
 Tresl, J., and Blatna, D.
 Statistical analysis of selected European stock indices
 Tutz, G., and Ulbricht, J.
 An alternative approach to regularization and variable selection in high dimensional regression modelling
 Ugarte, M.D., Militino, A.F., Goicoa, T.
 Restricted predictors for small area totals
 Vaida, F., and Blanchard, S.
 Conditional AIC for nonlinear mixed effects models
 Xu, R., Vaida, F., and Harrington, D.P.
 Using profile likelihood for model selection with application to proportional hazards mixed models

