Clinical Trial Statistics for Non Statisticians

14 - 17 June 2022, Brussels, Belgium

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Develop the statistical knowledge required to
better understand today’s cancer clinical trials!

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Today, statistics are critical to understand clinical trials. This EORTC course provides an introduction to the statistical methods used for the design, conduct and analysis of cancer clinical trials. This course will provide a greater understanding of the statistical principles whilst avoiding too technical formulations. Attendees will be better equipped to design their own clinical research, work in a multidisciplinary team involving statisticians and to critically appraise the scientific value of published research. This course is aimed at non-statisticians who work in clinical research or at statisticians with little or no experience in clinical trials.


Optional Introduction

For those attendees who do not have any basic training in general statistics, an optional half day introduction course to statistics and probability (incl. notions of experiment, random variable, distributions, estimations, hypothesis testing) is organised before the official start of the course.



Murielle Mauer
Murielle MauerCo-Chair
Lead Statistician
EORTC Headquarters
Brussels, Belgium
Saskia Litière
Saskia LitièreChair
Head of Statistics Department
EORTC Headquarters
Brussels, Belgium
Xavier Paoletti
Xavier Paoletti Co-Chair
Professeur de Biostatistiques
Université de Versailles – St Quentin
& Institut Curie, France


Book early to avoid disappointment and to benefit from the greatest discount




DoubleTree by Hilton Brussels City
3 Rue Gineste
1210 Brussels

European Accreditation

An application has been made to the UEMS-EACCME® for CME accreditation for the ‘Clinical Trial Statistics for Non Statisticians’.

What is CME?

CME (Continuing Medical Education) can be defined as educational activities which serve to maintain, develop and increase the knowledge, skills and professional performance that physicians and allied health professionals use to provide services for patients, the public or the profession.

What does European Accreditation mean for you?

CME acreditation granted by the UEMS-EACCME® provides a guarantee to participants from all over the world that the content of the CME provided is of a high quality, unbiased and didactic and, for European doctors, that this quality will be recongnised in their home country.

UEMS-EACCME® Accreditation


The EORTC course “Clinical Trial Statistics for Non Statisticians”, Brussels, Belgium, 14/06/2022-17/06/2022 has been accredited by the European Accreditation Council for Continuing Medical Education (EACCME®) with 20 European CME credits (ECMEC®s). Each medical specialist should claim only those hours of credit that he/she actually spent in the educational activity.


Through an agreement between the Union Européenne des Médecins Spécialistes and the American Medical Association, physicians may convert EACCME® credits to an equivalent number of AMA PRA Category 1 CreditsTM. Information on the process to convert EACCME® credit to AMA credit can be found at


Live educational activities, occurring outside of Canada, recognised by the UEMS-EACCME® for ECMEC®s are deemed to be Accredited Group Learning Activities (Section 1) as defined by the Maintenance of Certification Program of the Royal College of Physicians and Surgeons of Canada.

Conflicts of Interest

Hotel Accommodation

Hotel bookings are not managed by EORTC

A limited number of rooms have been reserved for this event at the DoubleTree by Hilton Brussels City  (course venue), at 179 EUR per night, including breakfast and VAT (excluding city tax). Accommodation can be booked via the button below.

The deadline for hotel reservations is 13 May 2022. Accommodation requests received after 13 May will be processed on a space-available basis and may be subject to higher rates. Individual guests will be responsible to reserve and guarantee their accommodation, and will be liable in case of cancellation, no show or early departure. The individual cancellation deadline is 72 hours prior to arrival. Cancellations and no shows within 72 hours from arrival will be charged in full.

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