workshop

[Rossella Berni <berni@ds.unifi.it>]

**************************************
WORKSHOP on CORRELATED DATA MODELING
The estimating equations approach

Trieste (Italy), 22-23 October 1999
**************************************

The draft program for the workshop has been almost defined.  Here below you
can find the (provisional) list of contributors and the registration form.
More information are available (including a list of hotels and travel
information) at the workshop home page:

http://dises17.univ.trieste.it/wuts

The registration fee (30 Euros) can be paid at the conference desk or
alternatively with a money transfer to:
Dipartimento di Scienze Economiche e Statistiche, University of Trieste
Cassa di Risparmio di Trieste Banca SpA Ag. 23
ABI 6335 CAB 2223 c/c 43

The registration form can be forwarded either by email or fax to:
Workshop on Correlated Data Modeling
Email: wcn@econ.univ.trieste.it
Fax: ++39 040 567543


*************Registration form***********

Name (Surname, First): __________________


Institution: ____________________________


Address: ________________________________
         ________________________________
         ________________________________


Email: __________________________________


Fax: ____________________________________


Special needs: __________________________


***************************************************************
DRAFT PROGRAMME

ORAL COMMUNICATIONS
An estimating equation approach to multilevel models with binary responses
G. D'Epifanio, Dept, Statistical Sciences, University of Perugia, Italy.

Correlated data in response surface methodology
P. Goos, Dept. of Applied Economics, Leuven, Belgium

Least squares fitting from the variogram cloud
W. G. Müller, Dept. of Statistics, University of Economics, Wien, Austria.

D. L. Zimmerman, Dept. of Statistics and Actuarial Sciences, The University
of Iowa, Iowa CIty, Iowa, USA.

Modeling longitudinal data with serial correlation
G. MacKenzie & J. Reeves, Center for Medical Statistics, Keele University,
Keele, UK.

Generalized estimating equations: a new approach for multivariate data and a
class of second order deviance-approximations
C. Lange & J. C. Whittaker, Dept. of Applied Statistics, University of
Reading, Reading, UK.

Joint modeling of mean, dispersion and correlation: generalized and gaussian
estimating equations
M. Pourahmadi, Division of Statsitics, Northern Illinois University, Dekalb,
Illinois, USA.

Modeling correlated data using the multivriate normal copula
T. Reilly, Babson College, Division of Math and Sciences, MA, USA

GEE models of political decision making
C. Zorn, Emory University, Atlanta, GA, USA

Human capital estimation through structural equation models with
somecategorical observed variables
A. Di Bartolo, Dept. of Statistics, University of Milano-Bicocca, Italy

An hybrid parametrization for contingency tables
R. Colombi, University of Bergamo-Dalmine & M. Cazzaro, Univerity of
Milano-Bicocca. Italy

Generalized linear models for handling non-ignorable dropouts in
longitudinal studies
G. Fitzmaurice & N. Laird, Harvard University, USA


Generalized estimating equations for spatially referenced binary data
M. A. Mugglestone, MRC Institute for Environment and Health, Leicester, UK.

Estimating Equations: a short, selective survey
M. Crowder, Dept. of Mathematics and Statistics, Surrey University, UK

Familial associations of lipid profiles: a generalized estimating equations
approach
A. Ziegler, Institute of Medical Biometry and Epidemiology,
Philipps-University of MArburg, Germany

Bivariate binary data analysis with non-ignorabely missing outcomes
M. C. Paik, Division of Biostatistics, Columbia University, USA

Applications of non-parametric geostatistics to agricolture
Annamaria Castrignanò, L. Giglio, M. Stelluti, Istituto Sperimentale
Agronomico, Bari, Italy.

SHORT COMMUNICATIONS

A marginal model for evaluating activity patterns in the masticatory system
M. Baccini & L. Lusa, Dept. of Statistics, University of Firenze, Italy.

Some models for evaluating the efficacy of the professional school system in
an italian region
S. Rodaro, Dept. of Economics and Statistics, University of Trieste, Italy.

A Geostatistical approach for describing the water quality in the gulf of
Trieste
P. Barbieri, DSCH & P. Bevilacqua, DICAMP, University of Trieste, Italy.

Efficiency and robustness of cumulative gauging scores control charts
E. D. Isaia, Dept. of Statistics and Mathematics, University of Torino,
Italy.

A model of structural equations for quality evaluation in the medical field
A. Durio, Dept. of Statistics and Mathematics, University of Torino, Italy.

Statistical comparison of physical habitat sampling strategies in streams
K. Moder, Dept. of Applied Statistics, University of Agricoltural Sciences,
Wien
P. Parasiewicz, New York Cooperative FIsh and Wildlife Research Unit,
Cornell University, Ithaca.

Usefulness of pre-operative chest-ray in surgical management of the patient
L. Silvestri, ASSL8 Gorizia & L. Lusa, Dept. of Statistics, University of
Firenze, Italy.

Kernel estimation for investment funds evaluation
R. Ignaccolo, Dept. of Statistics and Mathematics, University of Torino,
Italy.



*************************
Rossella Berni - Ricercatore
Dipartimento di Statistica "G.Parenti"
Viale Morgagni 59
50134 Firenze
tel. 055-4237211
fax. 055-4223560
E-Mail: berni@ds.unifi.it