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Subject:

CALL for Papers: 2nd Workshop on Correlated Data Modelling

From:

Gilbert MacKenzie <[log in to unmask]>

Reply-To:

Gilbert MacKenzie <[log in to unmask]>

Date:

Wed, 2 Apr 2003 20:20:43 +0100

Content-Type:

text/plain

Parts/Attachments:

Parts/Attachments

text/plain (137 lines)

Repeat Notice - title correction:
First Announcement for the
****************************************
    2nd Workshop on Correlated Data Modelling
****************************************
    Common ideas in Biometrics and Econometrics
    Torino (Italy), 9-10 January, 2004
    http://web.econ.unito.it/wcdm04/
****************************************
Apologies for any cross-postings
****************************************

THEMES

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

INTRODUCTION

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 range  from spatial analysis to  the design of
repeated measures studies, with applications in classical bio-medical
fields such as in public health, economics, political science and
sociology.

In this second 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 various fields of application,
particularly  biometrics and econometrics.

The final goal of this second  workshop is to improve interaction
between application and methodology,  in the major areas of
application in which the models have been proposed.

AIM

The workshop is aimed at giving an opportunity to people
working in the applied sciences and statisticians and
methodologists to meet and discuss together various
approaches for modelling correlated data.

ORGANIZATION

Contributions should focus on models and methods for
modelling correlated data. Methodological contributions
should have strong potential for application. Application of
methods in biomedical fields originally proposed
in the econometric literature (or vice versa) together with
new models for applications in any field are particularly
welcome. A nominal participation fee (approximately
50 Euros) is requested for people not presenting their work.

The best 10 abstracts selected for oral presentation
will have in addition travel and accommodation expenses
(in the University Residence) re-funded by the local University
(up to a maximum of 500 Euros).

CALL FOR PAPERS

Oral presentations and two poster sessions will be organized.
Applied researchers are particularly encouraged to present their
ideas. Ideally, we would like to have 10-15 papers suitable for
oral presentation. Each author should submit an abstract (one page)
to the organizing committee (see call for paper on http://web.econ.
unito.it/wcdm04/).  Following  acceptance, the author is supposed
to send an extended abstract (min 6, max 20 pages)
for publication in the volume of the proceedings.

TIMETABLE

Deadline for abstract submission 1 July 2003
Acceptance of contributions 1 September 2003
Deadline for extended abstract 1 November 2003

COMMITTEES

**International Scientific Committee**
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)

**Local Programm Committee**
Roberto Corradetti (I - Chairman)
Alessandra Durio (I)
Roberto Furlan (USA)
Aldo Goia (I)
Ennio Davide Isaia (I)
Eugenio Novelli (I)
Rosalba Rosato (I)
Giulia Zigon (I)

WEB SITE

More details are availabe at:
http://web.econ.unito.it/wcdm04/

CONTACT ADDRESS

Alessandra Durio
Dipartimento di Statistica e Matematica "Diego de Castro"
Piazza Arbarello, 8 - 10122 Italy
Fax: +39 011 670 62 39
e-mail: [log in to unmask]


>From Gilbert on behalf of Dario Gregori & Local Organisers.



--
_____________________________

Prof. Gilbert MacKenzie
Director,
Centre for Medical Statistics
Keele University
Staffordshire ST5 5BG
England

Email: [log in to unmask]

Tel: (01782) 583651
Fax: (01782) 584268
______________________________

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