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B - Stat News
The Newsletter
of the
Belgian Statistical Society
Belgische Vereniging voor Statistiek
Société Belge de Statistique
Number 39 – January 2007
Editeurs responsables/Verantwoordelijke uitgevers :
Olivier Thas, Universiteit Gent
Coupure Links 653, 9000 Gent
Sophie Vanbelle, Service de Biostatistique, Université de Liège
CHU Sart Tilman, 4000 Liège
Adelin Albert, Université de Liège
Paul Janssen, Universiteit Hasselt
Secretary of the Society
Gentiane Haesbroeck, Université de Liège.
Marc Aerts, Universiteit Hasselt
Luc Bijnens, Janssen Pharmaceutica
Frans Desmedt, Institut National de Statistique
Uwe Einmahl, Vrije Universiteit Brussel
Irène Gijbels, Katholieke Universiteit Leuven
Marc Hallin, Université Libre de Bruxelles
Mia Hubert, Katholieke Universiteit Leuven
Philippe Lambert, Université catholique de Louvain
Jean-Paul Rasson, Facultés Univ. Notre-Dame de la Paix, Namur
Didier Renard, Eli Lilly
Christian Ritter, Université catholique de Louvain
Website of the Society
Laurence Seidel : [email protected]
Editorial ....................................................................................................1
14th SBS-BVS 2006 Annual Meeting .......................................................3
General Assembly of the SBS-BVS .........................................................5
15th SBS-BVS Annual Meeting BSS 2007 ……………………………...6
First IBS Channel Network meeting.........................................................7
Forthcoming Statistical events in Belgium...............................................8
News from our members...........................................................................9
Recent Ph.D. theses ................................................................................10
2007 Member list ...................................................................................14
Membership is important !
Another year over! Time has come again to send all members of the SBS-
BVS my personal wishes for a happy and successful New Year 2007.
Another year over! Time passes by rapidly. Emails and electronic
transactions change our daily life ever more, not only in depth but also in
pace. On Saturday morning, when browsing through my infinite list of
weekly emails, those received on Monday or Tuesday seem to me ages ago.
By contrast, long time received emails can be retrieved in a second, giving
me the impression that I got them yesterday. I remember the time when a
scientific paper published in one of the best journals was a matter of
discussion and appreciation for many years, while today nobody would talk
about it a month later. The same applies to daily life events and persons.
Evanescence is probably a good word to term the 21st century information
Another year over! Time has been plain, however. The SBS-BVS and its
members have been active not only in Belgium but also worldwide in many
ways. I would like to specially commend on the UCL statistical team which
organised the BSS2006 annual meeting in Houffalize on a short notice but
with a remarkable success. The afternoon for young statisticians, sponsored
in part by the society, gathered over 60 participants and was highly
appraised. I wish the group in Antwerp in charge of BSS2007 the same
successful outcome.
Another year over! Time has also come to renew your annual dues.
Everyone in the society should contribute to its financial health and
stability. One way to do this is to promptly pay the membership fee. Delays
cause costly reminders, unnecessary paperwork and headaches to the
treasury office. Today, there are also legal reasons for doing so. According
to the new law on “asbl/vzw”, the official list of members has to be
established and deposited every year. Members leaving the society for any
reason should always notify the secretarial office about their resignation.
Likewise address changes should be rapidly reported to the secretary. I hope
that all members will recognise these elementary rules which apply to all
Members can live without the society but the society can not live without its
members! Like cells in the human body, members are the cellular
components of the society, making it alive, active, and moving forward.
Membership is really important!
Adelin Albert
President of the SBS-BVS
12 - 13 OCTOBER 2006
The BSS 2006 meeting was organized by the Institute of Statistics of UCL
and took place in the Ol Fosse d’Outh seminar center at Houffalize in the
province of Luxemburg. This meeting was organized jointly with the
biostatistical section of the society and with three statistical groups linked to
SBS-BVS: b-ENBIS (the Belgian branch of the European Network for
Business and Industrial statistics), RSS-3CC (the Three Country Corner
local group of the Royal Statistical Society) and the Quetelet Society.
In addition to the traditional activities, this 2006 edition was marked by two
special events: it was preceded by a special afternoon for young statisticians
and was followed by a workshop and a hike on Friday afternoon. In total
141 persons registered: 63 students, 48 participants from academics and 31
from private companies or other organisations.
The afternoon for young statisticians started the day before the official
meeting on 11 October. During this stimulating and pleasant event, three
young Belgian PhDs in statistics presented their career path and the asset of
having a PhD when working in private companies or public organisations.
Each of the 60 participants had also the opportunity to discover the work of
the others in a quiz-based poster-session.
On October 11 and 12, a varied and rich scientific program was proposed to
the participants of the “official” SBS-BVS meeting. Each of them could
find presentations in his own specialisation and open his mind to various
other subjects. The five plenary sessions given by the invited speakers were
especially appreciated for their scientific quality and the clarity of the
presentations adapted to the variety of the public. They covered a very
broad range of topics such as: data mining (Bart Baesens – KULeuven),
statistical problems in organ donation and transplantation (Dave Collett -UK
Transplant), sampling methodology in the Pisa study (Erich Neuwirth -
University of Vienna), nonparametric regression in survey estimation (Jean
Opsomer - Iowa State University) and statistical and mathematical models in
epidemiology (Ziv Shkedy, Hasselt University).
These plenary sessions were completed by six thematic sessions organised
jointly with our partners b-ENBIS, RSS-3CC, Quetelet society and the
Biostatistical session of SBS-BVS. Within the 30 presentations, many PhD
students had the opportunity to present their work. This stimulating oral
scientific program was completed by a poster session (coupled with a
cocktail) where 34 young statisticians presented their work and which
showed how diverse and rich the work of the young generation in Belgium
can be. In the workshop on Friday afternoon, Christian Ritter (UCL and
Monnet Center) offered to 25 participants an introduction to the
“deployment of statistics in an office environment”.
As usual, the atmosphere of the conference was friendly and pleased. The
winners of the quiz of the poster session opened the bar on Wednesday
afternoon with the bottles of Chouffe they gained in the competition. This
local Belgian beer set the tone to the two relaxed and happy evenings of the
conference. The hike on Friday afternoon was also a success: 15
participants could discover the beautiful neighbourhood of the conference
centre and finish their afternoon on the terrace with the workshop
participants around cakes and … some more beer.
The organising and the scientific committees want to thank all the
participants for their contribution to the success of this meeting! We are
looking forward to meet you again next year in Antwerp!
University of Namur, 14 February 2007
The SBS-BVS annual General Assembly will take place at the “Facultés
Universitaires Notre-Dame de la Paix” in Namur (Auditorium MA1, second
floor in the Economics Building), on Wednesday 14 February 2007 at 17:00.
It will be preceded, in auditorium E1 (first floor in the same building), by
two scientific talks according to the following program:
14:30 – 15:30 Probabilistic models in cluster analysis
Hans-Hermann BOCK
RWTH Aachen University, Germany
15:30 – 16:00 Coffee break
16:00 – 17:00 Clustering in the presence of outliers
University of Passau, Germany
You are all cordially invited.
Antwerp, 19-20 October 2007
The 15th annual meeting of the Belgian Statistical Society will be held on
Friday 19 and Saturday 20 October 2007 in the Crowne Plaza Hotel in
Antwerp. The meeting will be preceded by a Young Statistician Day in the
same location on Thursday 18 October.
StatUa, the forum for statistics and applied statistics at the University of
Antwerp, will take care of the practical organisation of the 15th edition of
the annual meeting, which will feature sessions organized by the
Biostatistical Section of the Belgian Statistical Society, the Three Country
Corner local group of the Royal Statistical Society, the Quetelet Society and
the Belgian branch of the European Network for Business and Industrial
Statistics in addition to the contributed sessions. Workshops will be
scheduled on Saturday afternoon.
More details will soon be posted at www.sbs-bvs.be !
The first IBS Channel Network meeting will be held at the conference
centre Rolduc (12th century former abbey, The Netherlands) May 8-11,
2007. The scientific programme committee has selected the following three
broad themes as the invited programme:
High-dimensional data
Opening Keynote lecture: Ulrich Mansmann
Invited lectures: Age Smilde, Cajo Ter Braak
Methods in epidemiology
Invited lectures: Daniel Commenges, Miguel Hernan
Adaptive designs in clinical trials
Invited lectures: Chris Jennison, Fabian Tibaldi
Closing Keynote lecture: Marc Buyse
You are invited to submit an abstract for a contributed oral/poster
presentation. Contributions may cover a wide range of topics, but
contributions devoted to one of the topics of the invited sessions are
particularly encouraged. Deadine for abstracts is: January 30, 2007. More
information is available on the conference website:
For your information, the Channel Network is a loose confederation of IBS
Regions, founded at the end of 2005, comprising the Belgian Region, the
British and Irish Region, the French Region and the Netherlands Region. It
is managed by a Steering Group with members drawn from each of
constituent regions, and currently coordinated by Andrew Mead from the
British and Irish Region. The Channel Network Conference is intended to be
the major activity of the Channel Network, and will be held every two years,
with the venue rotated around the constituent regions.
February 16, 2007 – Diepenbeek (University of Hasselt) room C110
A latent class mixture model for incomplete longitudinal Gaussian data
Lien Beukens (Universiteit Hasselt)
February 23, 2007 – Diepenbeek (University of Hasselt) room C105
Flexible estimation of serial correlation in linear mixed models
Jan Serroyen (Universiteit Hasselt)
February 23, 2007 – Louvain-la-Neuve (Institut de statistique, UCL)
Special afternoon on "Nonparametric estimation under constraints"
Jérémie Bigot, Université Toulouse III, France
Geurt Jongbloed, Vrije Universiteit Amsterdam, The Netherlands
March 2, 2007– Diepenbeek (University of Hasselt) room C105
Predictive modeling of failure time data: a recast of the c-index
Kristiaan Pelckmans (ESAT,K.U.Leuven)
April 26−27, 2007 – Diepenbeek (University of Hasselt)
Statistical inference for dependent data.
Cedric Heuchenne, formerly at the Institute of Statistics UCL, is now
teaching at the School of Business ULg.
Frans Desmedt, National Institute of Statistics, retired in 2006.
Philippe Lambert, formerly professor of biostatistics at UCL, has been
appointed professor of statistics at the Institute of Human and Social
Sciences, University of Liège.
Didier Renard, formerly at the Eli Lilly Development Centre, Mont-Saint-
Guibert, moved to Novartis in Basel, Switzerland.
Peter Slock, formerly at the National Institute of Statistics, is now working
at the “Belgian national office for pensions”, Brussels.
*Members are invited to notify the B-Stat news editors about professional or
position changes.
Katholieke Universiteit Leuven (KULeuven)
Roselinde Kessels. Optimal Designs for the Measurement of Consumer
Preferences. (23/10/2006) – Promotors: Prof. Martina Vandebroek and Prof.
Peter Goos (UA).
This thesis focuses on the design of conjoint experiments for measuring the trade-
offs people make in choosing between alternative products and service providers.
Marketing consultants and researchers frequently use these experiments to predict
people's choices for prospective goods. In this way, they assist companies in
launching innovative products or services. The entire process from collecting
consumer preference data to analyzing them and simulating the marketplace is
generally known as conjoint analysis.
Conjoint analysis assumes that a product or service can be decomposed into its
component attributes and levels. A good is thereby described by levels for each of
the attributes. For example, a car is characterized by the attributes price,
transmission, airbags, door lock and audio system. A possible profile or alternative
of a car is then a car with a price of 18,000€, manual transmission, front and dual
side airbags, an auto lock function and a radio and CD player. By presenting a series
of profiles to a number of test persons and finding out which are most preferred,
conjoint analysis allows the determination of the relative importance of each
attribute and level in the purchasing decision. The relative values or utilities
respondents derive from the attribute levels are also called part-worths. Conjoint
analysis is based on the fact that the part-worths can better be measured when the
attributes are considered jointly rather than in isolation.
Respondents usually evaluate profiles in one of the following two ways. They either
choose their preferred profile from a set of profiles, also called a choice set, and they
repeat this task for several other choice sets presented to them. Such a conjoint
experiment is a choice-based conjoint experiment, also referred to as a conjoint
choice or discrete choice experiment, or more succinctly, a choice experiment. Or,
the respondents rate a number of profiles on a scale, for example a 10-point scale.
This type of conjoint experiment is a rating-based conjoint experiment. In the thesis
we deal with the question of how to properly design choice-based and rating-based
conjoint experiments. This means that we search for profiles that, when administered
to respondents, yield maximum information on the part-worths. To find the best
possible design in each case, we make use of design criteria or optimality criteria
resulting in optimal designs. The thesis is split into two parts each involving the
design of one type of conjoint experiment.
Katholieke Universiteit Leuven (KULeuven)
Rembert De Blander. Essays on Endogeneity and Parameter Heterogeneity
in Cross-Section and Panel Data. (28/04/2006) - Promotor: Prof. Marinus
Verbeek (Erasmus University Rotterdam), Co-promotor: Prof. Geert Dhaene
In this thesis, both the Correlated Random Coefficient (CRC) model as well
as a dynamic panel data model are considered.
The CRC model is a random coefficient model the crucial characteristic of
which is the possible correlation between regressors and coefficients.
Assuming that the constant term is also associated with a random and
correlated coefficient, the CRC model encompasses standard models that
allow for endogenous regressors. A first paper presents an estimator for the
linear CRC model which is an extension of Garen's (1984) Selectivity Bias
Method, but the outcome equation is augmented with more terms compared
to Garen. In a second Paper, I discuss semiparametric estimation of a linear
correlated random coefficient model (Heckman and Vytlacil (1998)). I
include two unknown functions of the residuals in the equation of interest,
one of which is multiplied by the treatment variable. I propose to estimate
these unknown functions by series regression, resulting in root N-consistent
estimation of the parameters of interest. By making use of the unified
treatment of models for truncation, sample selection and limited dependent
variables (Heckman (1976)), and of generalized residuals (Gouriéroux et al.
(1987)), this approach is valid as well for discrete treaments. A third paper,
finally, considers estimation methods for the CRC model when panel data
are available, which allows for estimation of the average treatment effect by
IV as described by Wooldridge (2003), using Hausman and Taylor (1981)
style instruments. The part concerning dynamic panel data focusses on the
derivation of unit root tests for fixed time dimension, which extends Harris
and Tzavalis' (1998) tests to panel data models with AR(1) errors. The
limiting distributions of the test statistics (for increasing N and fixed T) are
shown to be normal. Closed-form expressions for the first and second
moments of the test statistics are derived. Heterogenous initial conditions
and drift in the data generating process are taken into account by including
fixed effects and individual-specific linear time trends in the regression.
This inclusion makes the least squares estimators of the autoregressive
parameters inconsistent for fixed T, and appropriate bias-corrections are
Electronic access:
Universiteit Gent (UGent)
Beatrijs Moerkerke. To be or not to be significant: on more powerful
methods for multiple testing (17/11/2006) - Promotor: Prof. dr. E.
Recent advances in technology are leading to the production of enormous
amounts of data. To turn these data into information, statisticians are
equipped with statistical models and techniques for estimation and
hypothesis testing. They traditionally draw inference with well understood
error margins. The dimension of today’s datasets however has led to a
multiplicity of analyses and tests that are leading to the present new and
fundamental challenges to hypothesis testing. If no adjustments are made to
account for this multiplicity, the number of false positive results can grow
unacceptably large. This is at the heart of the multiple testing problem,
which forms the topic of this thesis.
The multiple testing problem has received particular attention in the field of
statistical genetics where a huge number of candidate genes may be tested
for an association with phenotype, based on relatively small samples. This
has led to a whole range of new (ad hoc) statistical developments. These
procedures mainly aim to avoid a flood of false positives, i.e. to protect
against false findings that put researchers on the wrong track. They thus
focus on the null of no association. Unfortunately, by reducing the number
of selected genes, one also loses some ability to detect interesting findings.
The strategy that is developed in this thesis also quantifies evidence against
an important alternative to gain power.
In chapter 1, we introduce the multiple testing problem and a range of error
measures through which repeated tests are being evaluated. We present
popular procedures designed to control these different error measures.
In chapter 2, we borrow from lessons learned in the field of statistical
genetics to confront multiplicity questions in the study of high dimensional
Quality of Life (QOL) outcomes. Specifically, we investigate the impact of
treatment on symptoms and functionality in several aspects of daily life of
breast cancer patients. Unlike classical analysis of QOL-questionnaires, we
extend existing techniques to compare treatments in terms of all individual
items as they reflect different symptoms that matter to the patients. More in
particular, we develop permutation based procedures to detect items of the
QOL-questionnaire that differ significantly over observed treatments even in
the face of multiple testing.
While in chapter 1 and 2, existing methods are studied and extended, a new
powerful methodology to deal with the multiple testing problem is
developed from chapter 3 onwards.
To avoid a flood of false positives and to avoid losing too much power, we
strive for a better balance between the magnitude of a genetic effect and its
precision in chapter 3 and 4. We complement the traditional p-value (p0)
with an alternative p-value (p1), a measure of impotence, which summarizes
evidence against a target alternative. We build a formal decision criterion by
balancing gene-specific type I and type II errors to optimize an expected
gain. This criterion turns out to be cast in terms of p0 and p1 and leads to an
intuitive measure of relative evidence based on which genes are ranked and
selected. We call this procedure the balanced test. The technique is applied
and developed in the context of statistical selection of genetic markers for
plant breeding and for detecting differentially expressed genes in hereditary
breast cancer.
In chapter 5, we take this testing procedure one step further and develop
two-stage designs for screening genetic markers when the cost of
measurements is high. Based on a first sample, a genetic marker is selected
if it shows enough evidence against the null and in favor of a specified
worthwhile alternative, while a sufficiently convincing lack of effect results
in acceptance of the null. Otherwise the genetic marker is situated in a grey
zone and more data are gathered at the second stage after which a binary
decision is made on all available data. We develop designs and decision
rules which optimize an expected gain.
We return to the original multiple testing framework in chapter 6 and study
experimentwise properties of our procedure. The balanced test achieves a
higher power to detect specified alternatives than methods based on
classical p-values. This is a consequence of considering evidence against
both the null and alternative hypothesis and handling gene-specific decision
criteria. It appears to also provide a more stable solution than standard
In this thesis, the multiple testing problem is approached in a more
specific way to provide a solution for the lack of power of classical tests.
The development of new techniques that rethink the ultimate goals of
hypothesis testing in a context where many tests are performed is important.
This process involves a reflection on existing methods and the recognition
of some of their shortcomings when keeping the original (biological)
question in mind. Some important steps towards this goal are taken here
and smoothen the path for further work on this topic such as the detection of
gene-gene interactions.
ADANS Séverine (Mrs) Facultés Univ. Notre-Dame de la Paix Rempart de la
Vierge, 8 B-5000 NAMUR (BELGIUM); Tel: 081/72.49.31 - Fax: - - Email:
[email protected]
AERTS Marc (Pr.) Universiteit Hasselt Centrum voor Statistiek Campus
Diepenbeek Agoralaan, Gebouw D B-3590 DIEPENBEEK (BELGIUM); Tel: 011-
26.82.47 - Fax: 011-26.82.99 - Email: [email protected]
ALBERT Adelin (Pr) Université de Liège Service de Biostatistique CHU Sart
Tilman (B35) B-4000 LIEGE (BELGIUM); Tel: 04-366.25.91 - 04-366.25.90 - Fax:
04-366.25.96 - Email: [email protected]
ALMEIDA Carlos (Mr) Université Catholique de Louvain Institut de statistique
Voie du Roman Pays, 20 B-1348 LOUVAIN-LA-NEUVE (BELGIUM); Tel:
010/47.88.60 - Fax: 010/47.30.32 - Email: [email protected]
ALONSO ABAD Ariel (Dr) Universiteit Hasselt Centrum voor Statistiek Campus
Diepenbeek Agoralaan, Gebouw D B-3590 DIEPENBEEK (BELGIUM); Tel: 011-
26.82.83 - Fax: 011-26.26.99 - Email: [email protected]
AMPE Bart (Mr) Ghent University Faculty of Veterinary Medicine Salisburylaan,
133 B-9820 MERELBEKE (BELGIUM); Tel: 09/264.73.34 - Fax: 09/264.74.99 -
Email: [email protected]
ANDRIES Ellen (Mrs) Plantenstraat, 16 B-3500 HASSELT (BELGIUM); Tel: -
Fax: - Email:
AUGUSTYNS Ilse (Dr) Janssen Pharmaceutica Turnhoutseweg 30 B-2340
BEERSE (BELGIUM); Tel: 014/60.63.38 - Fax: - Email: [email protected]
BAELE Guy (Mr) Universiteit Gent Department of Applied Maths and Computer
Sc. Krijgslaan, 281 - S9 B-9000 GENT (BELGIUM); Tel: 09/264.49.05 - Fax:
09/264.49.95 - Email: [email protected]
BANCKEN Fabrice (Dr) Bristol-Myers-Squibb Parc de l'Alliance Avenue de
Finlande, 8 B-1420 BRAINE-L'ALLEUD (BELGIUM); Tel: 32-2-352.76.38 - Fax:
32-2-351.26.79 - Email: [email protected]
BARRE Emilie (Mrs) Bristol Myers Squibb Parc de l'Alliance Avenue de
Finlande, 8 B-1420 BRAINE-L'ALLEUD (BELGIUM); Tel: 02/352.77.35 - Fax:
02/352.78.00 - Email: [email protected]
BASHIR Saghir (Dr) V. Baetensstraat, 42 B-1500 HALLE (BELGIUM); Tel: -
Fax: - Email:
BAUDOUX Valérie (Mrs) UCB Pharma Chemin du Foriest B-1420 BRAINE-
L'ALLEUD (BELGIUM); Tel: 02/386.35.57 - Fax: 02/386.30.44 - Email:
[email protected]
BECK Benoît (Dr) Lilly Development Centre rue Granbompré, 11 B-1348
MONT-SAINT-GUIBERT (BELGIUM); Tel: 010/47.64.93 - Fax: 010/47.64.75 -
Email: [email protected]
BEGUIN Claire (Dr) Avenue Pierre Damien, 9 (boîte 3) B-1150 BRUXELLES
(BELGIUM); Tel: - Fax: - Email:
BEIRLANT Jan (Pr.) Katholieke Universiteit Leuven Departement Wiskunde W.
de Croylaan, 54 B B-3001 HEVERLEE (BELGIUM); Tel: 016/32.27.89 - Fax:
016/32.28.31 - Email: [email protected]
BELLAMAMMER Leïla (Mrs.) Statistiques et Information Economique Rue de
Louvain, 44 B-1000 BRUXELLES (BELGIUM); Tel: 02/548.66.63 - Fax:
02/548.66.33 - Email: [email protected]
BENNALA Nezar (Mr) Université Libre de Bruxelles LMTD CP 124 - Avenue
Jeanne, 44 B-1050 BRUXELLES (BELGIQUE); Tel: 02/650.34.08 - Fax:
02/650.34.60 - Email: [email protected]
BEUNCKENS Caroline (Mrs) Universiteit Hasselt Centrum voor Statistiek
Campus Diepenbeek Agoralaan, Gebouw D B-3590 DIEPENBEEK (BELGIUM);
Tel: 011/26.82.57 - Fax: 011/26.82.99 - Email: [email protected]
BIJNENS Luc (Dr.) Janssen Pharmaceutica Biometrics and Clinical Informatics
Turnhoutseweg 30, Box 6356 B-2340 BEERSE (BELGIUM); Tel: 014/60.63.56 -
Fax: 014/60.58.02 - Email: [email protected]
BILLIET Jaak (Mr.) Katholieke Universiteit Leuven Department Sociology E.
Van Evenstraat, 2B B-3001 LEUVEN (BELGIUM); Tel: 016-32.31.57 - Fax: - Email: [email protected]
BODDAERT Michel (Mr.) UCB Pharma R&D R8 - Biostatistics Chemin du
Foriest B-1420 BRAINE L'ALLEUD (BELGIUM); Tel: 02-386.35.71 - Fax: 02-
386.30.44 - Email: [email protected]
BOEHM Hilmar (Mr) Isestrasse, 67 D-20149 HAMBURG (GERMANY); Tel: -
Fax: - Email:
BOEL René (Dr.) Universiteit Gent Vakgroep Elektrische Energietechniek
Technologiepark Zwijnaarde, 9 B-9052 ZWIJNAARDE-GENT (BELGIUM); Tel:
09-264.56.58 - Fax: 09-264.58.40 - Email: [email protected]
BOGAERTS Jan (Dr) EORTC Data Center Avenue Mounierlaan, 83/11 B-1200
BRUXELLES (BELGIUM); Tel: 02/774.10.63 - Fax: 02/771.38.10 - Email:
[email protected]
BOGAERTS Kris (Mr.) Biostatistisch Centrum Katholieke Universiteit Leuven
Kapucijnenvoer, 35 B-3000 LEUVEN (BELGIUM); Tel: 016-33.68.90 - Fax: 016-
33.70.15 - Email: [email protected]
BOLLAERTS Kaatje (Mrs) Universiteit Hasselt Center for Statistics Campus
Diepenbeek, Agoralaan 1, Gebouw D B-3590 DIEPENBEEK (BELGIUM); Tel:
011/26.82.52 - Fax: 011/26.82.99 - Email: [email protected]
BONTEMPI Gianluca (Dr) Université Libre de Bruxelles Institut d'Informatique
Bd du Triomphe, CP 212 B-1050 BRUXELLES (BELGIUM); Tel: 02/650.55.91 -
Fax: - Email: [email protected]
BOUEZMARNI Taoufik (Dr) Katholieke Universiteit Leuven Department of
psychology Tiensestraat, 102 B-3000 LEUVEN (BELGIUM); Tel: 016/32.59.85 -
Fax: 016/32.59.93 - Email: [email protected]
BOULANGER Bruno (Dr) ELI LILLY - MSG Rue Granbompré, 11 B-1348
MONT-SAINT-GUIBERT (BELGIUM); Tel: 010-47.64.68 - 010-47.62.11 - Fax:
010-45.02.90 - Email: [email protected]
BOULTON Muriel (Mrs) UCB Pharma Sector Chemin du Foriest B-1420
BRAINE-L'ALLEUD (BELGIUM); Tel: 02/386.36.15 - Fax: 02/386.30.44 - Email:
[email protected]
BRAAT Sabine (Mrs) N. V. Organon ADD: Biometrics Monlenstraat, 100 PO
BOX 20 NL 5340 BH OSS (THE NETHERLANDS); Tel: (0)412/66.54.62 - Fax:
(0)412/66.25.16 - Email: [email protected]
BRAEKERS Roel (Pr) Universiteit Hasselt Centrum voor Statistiek Campus
Diepenbeek Agoralaan, Gebouw D B-3590 DIEPENBEEK (BELGIUM); Tel:
011/26.82.34 - Fax: 011/26.82.99 - Email: [email protected]
BRAMATI Maria Caterina (Mrs) Université Libre de Bruxelles Institut de
Statistique CP 210 Boulevard du Triomphe B-1050 BRUXELLES (BELGIUM);
Tel: 02/650.55.26 - Fax: 02/650.58.99 - Email: [email protected]
BRUCKERS Liesbeth (Mrs.) Universiteit Hasselt Centrum voor Statistiek
Campus Diepenbeek Agoralaan, Gebouw D B-3590 DIEPENBEEK (BELGIUM);
Tel: 011-26.82.15 - Fax: 011-26.82.99 - Email: [email protected]
BRUSS Thomas (Pr.) Université Libre de Bruxelles Institut de Statistique
Boulevard du Triomphe CP 210 B-1050 BRUXELLES (BELGIUM); Tel: 02-
650.58.93, 02-650.58.64, 02-650.58.70 - Fax: 02-650.58.99 - Email:
[email protected]
BRYS Guy (Mr) Statistics Belgium (NIS/INS) Leuvenseweg 44 B-1000
BRUSSELS (BELGIUM); Tel: 02/548.66.18 - Fax: - - Email:
[email protected]
BUGLI Céline (Ir) UCL - Institut de statistique Voie du Roman Pays, 20 B-1348
LOUVAIN-LA-NEUVE (BELGIUM); Tel: 010/47.91.74 010/47.88.65 - Fax:
010/47.30.32 - Email: [email protected]
BURTIN Bernard (Dr.) UCB Pharma Chemin du Foriest B-1420 BRAINE-
L'ALLEUD (BELGIUM); Tel: 02-386.23.05 - Fax: 02-386.24.20 - Email:
[email protected]
BURZYKOWSKI Tomasz (Dr) Universiteit Hasselt Centrum voor Statistiek
Campus Diepenbeek Agoralaan, Gebouw D B-3590 DIEPENBEEK (BELGIUM);
Tel: 011/26.81.73 - Fax: 011/26.82.99 - Email: [email protected]
BUYSE Marc (Dr) ID2 Avenue Provinciale 30 B-1340 OTTIGNIES - Louvain-
La-Neuve (BELGIUM); Tel: 02-646.89.18 - Fax: 02-646.86.62 - Email:
[email protected]
CALLAERT Herman (Pr) Universiteit Hasselt Centrum voor Statistiek Campus
Diepenbeek Agoralaan, Gebouw D B-3590 DIEPENBEEK (BELGIUM); Tel: 011-
26.82.43 - Fax: 011-26.82.99 - Email: [email protected]
CALLENS Marc (Dr) CBGS Markiesstraat, 1 B-1000 BRUSSEL (BELGIUM);
Tel: 02-553.41.96 - Fax: 02-553.35.57 - Email: [email protected]
CARBONEZ An (Dr) Katholieke Universiteit Leuven Universitair Centrum voor
Statistiek W. de Croylaan, 54 B-3001 HEVERLEE (BELGIUM); Tel: 016/32.22.42
- Fax: 016/32.28.31 - Email: [email protected]
CARLETTI Georges (Dr) Rue du Poncia, 23 B-5030 GEMBLOUX
(BELGIUM); Tel: - Fax: - Email:
CASSART Delphine (Mrs) Université Libre de Bruxelles Avenue F.D.
Roosevelde, 50 B-1050 BRUXELLES (BELGIUM); Tel: 02/650.34.08 - Fax:
02/650.34.66 - Email: [email protected]
CHEUVART Brigitte (Mrs) Rue des Cortils, 24 B-5101 ERPENT (BELGIUM);
Tel: - Fax: - Email:
CHRISTMANN Andreas (Pr) Vrije Universiteit Brussel Faculteit Wetenschappen
Pleinlaan, 2 B-1050 BRUSSEL (BELGIUM); Tel: 02/629.34.76 - Fax: 02/629.34.95
- Email: [email protected]
CLAESKENS Gerda (Pr) Katholiek Universiteit Leuven OR & Business Statistics
Naamsestraat, 69 B-3000 Leuven (BELGIUM); Tel: 016/32.69.93 - Fax:
016/32.67.32 - Email: [email protected]
CLAUSTRIAUX Jean-Jacques (Pr) Faculté Universitaire des Sciences
Agronomiques Unité de Statistique, Informatique & Math appliq. Av. de la Faculté
d'Agronomie, 8 B-5030 GEMBLOUX (BELGIUM); Tel: 081-62.25.12 - 081-
62.24.82 - Fax: 081-61.25.18 - Email: [email protected]
CLEMENT Lieven (Mr) Universiteit Gent Coupure Links, 653 B-9000 GENT
(BELGIUM); Tel: 09/264.59.38 - Fax: 09/264.62.20 - Email:
[email protected]
COMTE Laetitia (Mrs) Université de Liège Département de Mathematique 12,
Grande Traverse B-4000 LIEGE (BELGIUM); Tel: 04/366.94.60 - Fax: - Email:
[email protected]
COPPENOLLE Hans (Dr) Janssen Pharmaceutica Turnhoutse weg 30, BOX 108
B-2340 BEERSE (BELGIUM); Tel: 014/60.78.89 - Fax: 014/60.58.02 - Email:
[email protected]
CORTINAS ABRAHANTES José (Mr) Universiteit Hasselt Centrum voor
Statistiek Campus Diepenbeek Agoralaan, Gebouw D B-3590 DIEPENBEEK
(BELGIUM); Tel: 011-26.82.15 - 04799-75.15.66 - Fax: - Email:
[email protected]
CREEMERS An (Mrs) University of Hasselt Center for statistics Agoralaan,
gebouw D B-3590 DIEPENBEEK (BELGIUM); Tel: 011/26.82.94 - Fax:
011/26.82.99 - Email: [email protected]
CROUX Christophe (Pr) Katholieke Universiteit Leuven Faculty of Economics
and Applied Economics Naamse straat, 69 B-3000 LEUVEN (BELGIUM); Tel:
016/32.69.58 - Fax: 016/32.67.32 - Email: [email protected]
DAGNELIE Pierre (Pr) Chaussée de Charleroi, 177 B-5030 GEMBLOUX
(BELGIUM); Tel: - Fax: - Email:
DANIELSON Linda (Ms.) rue Marie-Henriette, 66 B-1050 BRUSSELS
(BELGIUM); Tel: - Fax: - Email: [email protected]
DANNIAU Anne (Mrs) avenue des myrtilles, 12 B-1950 KRAAINEM
(BELGIUM); Tel: - Fax: - Email:
DARIUS Paul (Pr) MEBIOS Kasteelpark Arenberg, 30 B-3001 HEVERLEE
(BELGIUM); Tel: 016-32.14.39 - Fax: 016-32.19;94 - Email:
[email protected]
DAVID Marie-Pierre (Mrs.) GlaxoSmithKline Biologicals Biologicals Rue de
l'Institut, 89 B-1330 RIXENSART (BELGIUM); Tel: 02/656.94.37 - Fax:
02/656.81.33 - Email: [email protected]
DAVISTER Cédric (Mr) rue Haute-Baive, 78 B-5310 LIERNU (BELGIUM);
Tel: - Fax: - Email:
DAWAGNE Jean-Marie (Mr) Statistics Belgium (NIS/INS) Rue de Louvain, 44
B-1000 BRUXELLES (BELGIUM); Tel: 02/548.66.96 - Fax: 02/548.62.32 - Email:
[email protected]
DE BACQUER Dirk (Pr) Vakgroep Maat. Gezondh. De Pintelaan, 185 Blok A B-
9000 GENT (BELGIUM); Tel: 09-240.36.83 - Fax: 09-240.49.94 - Email:
[email protected]
DE BRAUWER Annelies (Mrs) Innogenetics Technologiepark, 6 B-9052 GENT
(BELGIUM); Tel: 09/329.17.38 - Fax: 09/329.17.68 - Email:
[email protected]
DE FRENNE Anne (Mrs.) Société MATH-X Avenue des Tilleuls, 8 B-1180
BRUXELLES (BELGIUM); Tel: 02-375.34.10 - Fax: 02-375.88.90 - Email:
[email protected]
DE KERCHOVE D' EXAERDE Gérard (Ir) Chaussée de Jodoigne, 59 B-1390
GREZ-DOICEAU (BELGIUM); Tel: - Fax: - Email:
DE MAERTELAER Viviane (Pr) Université Libre de Bruxelles IRIBHM Route
de Lennik, 808, CP 602 B-1070 BRUXELLES (BELGIUM); Tel: 02/555.41.36 -
Fax: 02/555.46.55 - Email: [email protected]
DE MEYER Anna Maria (Dr.) LUDIT Katholieke Universiteit Leuven de
Croylaan, 52a B-3001 HEVERLEE (BELGIUM); Tel: 016/32.22.15 - Fax:
016/32.29.99 - Email: [email protected]
DE PRIL Veerle (Mrs.) BMS Parc de l'Alliance Avenue de Finlande, 8 B-1420
BRAINE-L'ALLEUD (BELGIUM); Tel: 02-352.77.36 - Fax: 02-352.78.00 - Email:
[email protected]
DE RIDDER Filip (Dr.) Johnson & Johnson Pharmaceutical R & D
Turnhoutseweg, 30 B-2340 BEERSE (BELGIUM); Tel: 014-60.39.98 - Fax: 014-
60.61.24 - Email: [email protected]
DE SMEDT Heidi (Dr) UCB Pharma R&D R8 - Biostatistics Chemin du Foriest
B-1420 BRAINE L'ALLEUD (BELGIUM); Tel: 02-386.35.84 - Fax: 02-386.30.44 -
Email: [email protected]
DEBRUYNE Michiel (Mr) Katholieke Universiteit Leuven Universitair Centrum
voor Statistiek De Croylaan, 54 B-3001 HEVERLEE (BELGIUM); Tel:
016/32.22.76 - Fax: - Email: [email protected]
DECLERCK Lieven (Dr.) S-Clinica Boondaalse Steenweg, 6 B-1050
BRUSSELS (BELGIUM); Tel: 02/645.05.64 - Fax: 02/645.05.69 - Email:
[email protected]
DECLERCQ Katrien (Mrs) SAS Institute Belgium-Luxembourg
Hertenbergstraat, 6 B-3080 TERVUREN (BELGIUM); Tel: 02/766.07.00 - Fax:
02/766.07.77 - Email: [email protected]
DECUYPER Johan (Mr) National Bank of Belgium Boulevard de Berlaimont, 14
B-1000 BRUXELLES (BELGIUM); Tel: 02/221.45.08 - Fax: 02/221.31.34 - Email:
[email protected]
DEHON Catherine (Dr) Université Libre de Bruxelles Avenue F. D. Roosevelt,
50 CP 114 B-1050 BRUXELLES (BELGIUM); Tel: 02/650.38.58 - Fax:
02/650.40.12 - Email: [email protected]
DEJARDIN David (Mr) Bristol-Myer-Squibb Parc de l'Alliance Avenue de
Finlande, 8 B-1420 BRAINE-L'ALLEUD (BELGIUM); Tel: 02/352.77.56 - Fax:
02/351.26.79 - Email: [email protected]
DEJONCKHEERE Joachim (Dr) Oostmeersdreef, 42 B-9800 DEINZE
(BELGIUM); Tel: - Fax: - Email:
DELAIGLE Aurore (Mrs) University of Bristol Department of Mathematics
University Walk BS8 1TW BRISTOL (UK); Tel: - - Fax: - - Email:
[email protected]
DELBAEN Freddy (Pr.) ETH-Zürich Departement für Mathematik CH-8092
ZURICH (SWITZERLAND); Tel: 41-1-632.63.57 - 41-1-632.34.10 - Fax: 41-1-
632.10.85 - Email: [email protected]
DELINCE Jacques (Dr.) Unité AGRIFISH, TP266 Centro Commune di Ricerca 2
via Fermi I-21020 ISPRA (VA) (ITALY); Tel: 39 0 332 78 55 79 - Fax: 39 0 332 78
51 62 - Email: [email protected]
DELOUILLE Véronique (Mrs) Observatoire Royal de Belgique Avenue
Circulaire, 3 B-1180 BRUXELLES (BELGIUM); Tel: 02/790.39.38 - Fax:
02/373.02.24 - Email: [email protected]
DELTENRE Alain (Mr) Colgate-palmolive R&D Inc. Avenue du Parc Industriel
B-4041 MILMORT (BELGIUM); Tel: 04/278.95.61 - Fax: 04/278.95.75 - Email:
[email protected]
DEMEUSE Marc (Dr) Université de Liège (B32) Service de Pédagogie théorique
et expérimentale Boulevard du Rectorat, 5 B-4000 LIEGE (BELGIUM); Tel:
04/366.20.95 - Fax: 04/366.28.55 - Email: [email protected]
DENUIT Michel (Pr) Institut de Statis

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