Turin (Italy), January 9-10, 2004
Villa Gualino

Scientific Meeting in Honour of Diego de Castro

2nd Workshop on Correlated Data Modelling
Common Ideas in Biometrics and Econometrics


Statistical methods and models for dealing with correlated data as emerging from applications, with special emphasis in bio-medicine and econometrics.

Models for correlated data are appearing as one of the most vital and exciting fields of the statistical methodology. Random effects models and estimating equations are only two of the major schemes used for dealing with the impressive mass of potential relevant applications. These are ranging from spatial analysis up to designs using repeated measures on the same subjects, with applications in classical bio-medical fields as in public health and economics, up to political sciences and sociology. In this edition (the second) of the workshop (the first was organized in Trieste in 1999 - http://dises17.units.it/wuts/ ) we propose to investigate the relationships among the various approaches and models as proposed in the various fields of application, and in particular in biometrics and econometrics. The final goal of this edition of the workshop is to improve contacts between application and methodology, as developed in the applied contexts where the models have been proposed.

Gilbert MacKenzie (UK - Chairman)
Gaetano Carmeci (I)
Martin Crowder (UK)
Anuska Ferligoj (SI)
Garrett Fitzmaurice (USA)
Herwig Friedl (A)
Dario Gregori (I)
Mohsen Pourahmadi (USA)
Attilio Wedlin (I)
Andreas Ziegler (D)

Roberto Corradetti (I - Chairman)
Alessandra Durio (I)
Monica Cugno (I)
Aldo Goia (I)
Ennio Davide Isaia (I)
Eugenio Novelli (I)
Rosalba Rosato (I)
Giulia Zigon (I)

G. Lanot
School of Management and Economics, Queen's University Belfast (UK)
An Example of Modern Applied Econometrics Who Really Wants to Be a Millionaire? Estimating Risk Aversion from Gameshow Data

J. Nelder
Department of Mathematics, Imperial College London (UK)
An Overview on Correlated Data Modelling

J. X. Pan
Department of Mathematics, University of Manchester (UK)
Joint Modelling of Mean and Covariance Structures in Longitudinal Studies

M. Pourahmadi
Division of Statistics, Northern Illinois University (USA)
Simultaneous Modelling of Several Covariances: GLM, Bayesian and Nonparametric Approaches

M. Blagojevic and G. MacKenzie
Univ. of Keele (UK)
A Comparison of PH and Non-PH Frailty Models

D. Catelan, E. Dreassi, A. Biggeri - Univ. of Florence (I) and C. Lagazio - Univ. of Udine (I)
Space-time Models with Time Dependent Covariates

P. Del Bianco - Regional Oncological Centre, Clinical Epidemiology Unit, Padua (I) and R. Borgoni - Univ. of Southampton (UK)
A Multilevel Heckman-type Model for Longitudinal Quality of Life Data Subject to drop out in a Multi-centre Clinical Trial

V. Di Giacinto - Banca d'Italia (I)
Forecasting Multivariate Spatial Time Series with a Common Factor Model

A. Fielding - Univ. of Birmingham (UK) and N. Spencer - Univ. of Hertfordshire (UK)
A Model Building Approach for Exogenous and Endogenous Ordered Category Multilevel Random Effects Models

L. Grilli and C. Rampichini - Univ. of Florence (I)
A Multivariate Multilevel Model for the Analysis of Graduates Skills

C.T. Jose - Central Plantation Crops Research Institute (India) and B. Ismail - University of Mangalore (India)
Estimation of Error Correlation in Nonparametric Regression

G. MacKenzie - Univ. of Keele (UK) and J. X. Pan - Univ. of Manchester (UK)
Optimal Joint Mean-Covariance Modelling

R. Reno' - Univ. of Siena (I)
On Measuring Correlations of High-frequency Financial Data

F. Siannis - Univ. of Cambridge (UK)
Sensitivity Analysis for Informative Censoring; A Semi-parametric Approach

S. Toti, A. Biggeri - Univ. of Florence (I) and A. Baldasseroni - ASL Firenze IOT (I)
A Hierarchical Bayesian Model for a Variability Analysis of Measurements of Occupational n-hexane Exposure in Italy

A. Ziegler and G. Dahmen - Univ. of Lübeck (D)
Generalized Estimating Equations in Controlled Clinical Trials

R. Bernardini Papalia - Univ. of Perugia (I)
Combining Incomplete Information and Learning in Microeconometric Models: a Generalized Cross Entropy Approach

S. Centanni and M. Minozzo - Univ. of Perugia (I)
Estimation and Filtering by Reversible Jump MCEM for a Double Stochastic Poisson Model for Intraday Financial Data

R. C. Jung - Univ. of Tübingen (D)
Estimation and Testing in some time Series Models with Discrete Support

G. Migliaretti, M. Maule, S. Bellini, A. Castella, D. Mirabelli, F. Merletti, F. Cavallo - University of Turin, Dep. of Public Health & Microbiology, Turin, (I) - Piedmont Oncology Prevention Center, Turin, (I) - Mortality Associated to Central Nervous System Disease in Piedmont, Italy (1992-1997)

O. Paccagnella - Univ. of Padua (I)
Duration Data and the Discrete-Time Multilevel Hazard Model: An Application to Compare Vocational Training courses

D. Rasulo - Univ. of Rome (I) and K. Christensen - Univ. of Southern Denmark (DK)
An Application of Biometric Models on Danish Twins. Genetic and Environmental Influences on Self-Reported Health in Later Life

D. S. Shinberg - Univ. of Memphis (U.S.A.)
Socioeconomic Status and Health Among Married Couples

D. Coin
Unmasking Multivariate Outliers and Multiple Models in an Econometric Application.

A. Ferrando, D. Gregori, A. Russo, E. Balduccelli, R. Arione, M. C. Azzolina, M. Piobbici and G. Ciccone
Application of Logistic Regression Mixed Models for Comparing the Prevalence of Pressure Ulcers in 23 Italian Hospitals

D. Ferrante, P. Donato, P. Soldą, C. Magnani and F. Della Corte
Statistical Analysis of Outcome Predictors After Severe Traumatic Brain Injury

F. Ferraty, A. Goia and P. Vieu
Functional Nonparametric Regression Model for Time Series Prediction

E. Novelli
Statistical Modelling of Epidemiological Data on Cancer Diseases

R. Rosato, D. Gregori and A. Biggeri
A Competing Risk Model to Estimate the Hospitalizations of a Cohort of Diabetic Patients. The Additive Regression Model

Fondazione ''Franca e Diego de Castro" University of Turin

RSS - Royal Statistical Society
SIS - Societą Italiana di Statistica
SISMEC - Societą Italiana di Statistica Medica ed Epidemiologia Clinica
BSIR - Biometric Society Italian Region
CIDE - Centro Interuniversitario di Econometria

Alessandra Durio
Dipartimento di Statistica e Matematica "Diego de Castro"
Piazza Arbarello, 8 - 10122 Italy
Fax: (+39) 011.670.62.39

More details are availabe at