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Home   >  Master's & postgraduate courses  >  Education  >  Summer Course in Bayesian Information Borrowing with Applications to the Design and Analysis of Clinical Trials
We advise you! Request information or admission
  • discount

    €300 discount for FME-UPC students

  • discount

    €250 discount for students from other UPC or UB schools, adjunct faculty from UPC or UB, and full-time faculty from UB not affiliated with the MESIO program

  • discount

    €200 discount for students from other universities

  • discount

    Free for full-time faculty at the UPC and MESIO UB or involved departments

Presentation

Edition
1st
Hours
15
Delivery method
Face-to-face
These courses will be conducted 'face-to-face' and will also be streamed live.
Language of instruction
English
Fee
€400
Notes payment of enrolment fee and 0,7% campaign
Registration open until the beginning of the programme or until end of vacancies.
Start date
Start date: 16/06/2025
End date: 20/06/2025
Timetable
Monday: 3:00 pm to 6:00 pm
Tuesday: 3:00 pm to 6:00 pm
Wednesday: 3:00 pm to 6:00 pm
Thursday: 3:00 pm to 6:00 pm
Friday: 3:00 pm to 6:00 pm
Taught at
Facultat de Matem脿tiques i Estad铆stica (FME)
C/ Pau Gargallo, 14. Edifici U.
Barcelona
Why this programme?

This course is part of the XVIII Summer School of the Master's degree in Statistics and Operations Research (MESIO UPC-UB).

The use of Bayesian methodologies to incorporate prior information has become a key tool in the design and analysis of clinical trials. This course offers a practical introduction to different information borrowing approaches, showing how existing knowledge or concurrent data can be leveraged to improve the accuracy of estimates and optimize the design of prospective studies. Both theoretical foundations and applied examples across different phases of clinical development will be covered.

The course on Bayesian Information Borrowing with Applications to the Design and Analysis of Clinical Trials is designed to provide familiarity with advanced techniques for integrating prior information into statistical models. Through a combination of theoretical lectures and practical case studies, participants will acquire useful tools to apply these methods in real-world contexts, contributing to more efficient, evidence-based decision-making.

Primarily intended for students of the MESIO master’s program. The seminars can be recognized with 3 ECTS if 2 courses are completed and passed, and with 5 ECTS if 3 courses are completed and passed, subject to approval by the Faculty of Mathematics.

Aims
  • Provide participants with knowledge of statistical methodologies for developing information borrowing approaches.
  • Introduce clinical trial design concepts based on these methodologies.
  • Demonstrate how these techniques can be applied in real-world settings.
  • Illustrate how they can improve the efficiency of clinical trials.
Who is it for?

Master students, applied statisticians in public and private sectors, trialists.
Participants should have completed a course on Likelihood and have basic knowledge of R.

Software Requirements
Students must bring their own laptops with R, RStudio, JAGS, rjags (R package) installed.

Training Content

List of subjects
15h
Bayesian information borrowing with applications to the design and analysis of clinical trials
  • Background:

    Introduction to Bayesian Inference
    Monte Carlo Markov Chain and its implementation in a software
    Bayesian design of clinical trials
  • General methodology:
    Bayesian Hierarchical Models
    Robustification of Bayesian Hierarchical Models (Mixture Priors)
    Commensurate priors
    Power Priors
  • Trials applications:
    Incorporation of historical information in the design and analysis of a clinical trial
    Basket trial design
Degree
Certificate issued by the Fundaci贸 Polit猫cnica de Catalunya.

Learning methodology

The teaching methodology of the programme facilitates the student's learning and the achievement of the necessary competences.

The course will be a mixture of lectures and practicals. The practical will be built around real life application examples in clinical trials that the course leads were involved with recently. These will be a mix of discussions and programming in R.
Virtual campus
The students on this summer course will have access to the My_ Tech_Space virtual campus - an effective platform for work and communication between the programme's students, lecturers, directors and coordinators. My_Tech_Space provides the documentation for each training session before it starts, and enables students to work as a team, consult lecturers, check notes, etc.

Teaching team

Academic management
  • Langohr, Klaus
    info
    /
    PhD in Statistics from the Polytechnic University of Catalonia (UPC). Graduate in Statistical Sciences and Techniques from the University of Dortmund (Germany). Associate professor at the Department of Statistics and Operations Research of the UPC.
Teaching staff
  • Caruso, Gianmarco
    info

    PhD in Methodological Statistics at Sapienza University of Rome and a Double Master's Degree in Applied Mathematics (Université Paris Dauphine-PSL) and Statistics (Sapienza University of Rome). Currently, he is a post-doctoral researcher at MRC Biostatistics Unit (University of Cambridge) working on efficient design of clinical trials. His research focuses on the development of statistical methods for Phase I-II clinical trials, with particular emphasis on multi-arm response-adaptive designs, group sequential trials and Bayesian methods to incorporate historical information into study designs.
  • Mozgunov, Pavel
    info

    PhD in Statistics from the University of Lancaster, UK. Currently, I am a Group Lead and NIHR Fellow at the MRC Biostatistics Unit, University of Cambridge, UK. I am working on developing novel statistical methods to make the design and analysis of clinical trials more efficient. I have designed over 10 public and privately funded trials, including the National UK Platform for COVID-19 treatments. I regularly advise pharmaceutical companies as a key opinion leader and serve on several funding panels in the UK and Europe.

Request information or admission

Information and guidance:
Isabel de la Fuente Larriba
(34) 93 115 57 51
Request received!
After we have registered your request, you will receive confirmation by email and we will be in touch.

Thank you for your interest in our training programmes.
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Name:

Programme: Bayesian Information Borrowing with Applications to the Design and Analysis of Clinical Trials

Fee: €400

Submit and make the payment
  • If you have any doubts.
  • If you want to start the registration procedure.
How to start admission
To familiarise yourself with the registration process for this programme, please contact:

Isabel de la Fuente Larriba
(34) 93 115 57 51
isabel.delafuente@talent.upc.edu




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ACADEMIC AND ECONOMIC REGULATIONS

The Fundaci贸 Polit猫cnica de Catalunya reserves the right to modify content, price, location, timetable and dates prior to the start of the course. Registration on the course will not be confirmed until payment has been made.

Registration rights. The interested party must make payment of the specified registration fee for the course. This fee will be deducted from the full course fee and will only be reimbursed if the applicant is not admitted.

Cancellation or deferment.The Fundaci贸 Polit猫cnica de Catalunya reserves the right to cancel or defer a course if the minimum number of students is not met. In case of cancellation or non-admittance, the Fundaci贸 Polit猫cnica de Catalunya will return all amounts paid in full, without any additional compensation. In case of deferment, applicants may request reimbursement of fees paid.

Cancellation of registration.
In the event of withdrawal or cancellation of the registration, the student must notify the UPC School in writing beforehand.
  • If this request for cancellation is made 45 days before the start of the programme, the UPC School will retain only 30% of the total registration fee and refund the difference paid.
  • In the event that the application request is made within 45 calendar days and the beginning of the programme, the UPC School will retain 60% of the registration fee.
  • No applications for refunds may be made after the programme has started.
Under exceptional circumstances, refunds of the registration fee will be made if the student's cancellation is due to one of the following circumstances:
  • Denial of a visa, subject to submission of supporting documentation. In this case, the UPC School will refund the registration fee less 300 Euros for administrative expenses.
  • Serious illness or accident accredited by an official medical certificate, stating the start date of the illness and the anticipated convalescence period. In this situation the UPC School's decision will be as follows:
    • If the notification takes place up to one month after the start of the programme, it will refund the amount actually paid, less 300 Euros as administrative expenses.
    • No refunds will be made after a month after the start of the programme. It will be only be possible to use the amount paid as a deposit for the registration fee of the next programme. This procedure entails no administrative fee for the student. The price difference between the new registration fee and the amount previously paid will be payable by the student under all circumstances.

Changes in registration. Any changes in registration, previously authorised by the Fundaci贸 Polit猫cnica de Catalunya, will incur a 300 € administration fee.

Discounts.
  • Discounts are non-accumulable. The greater discount of those requested will be applied.
  • Discounts can only be applied under prior application and approval.
  • Once registration has been confirmed, no discount will be applied.
  • Students are responsible for placing applications for any discounts.

Qualification. In order to obtain the Qualification/Diploma issued by the Polytechnic University of Catalonia, the student must be in possession of a recognised university qualification or internal university qualification equivalent to a degree or diploma. If this is not the case, the student will receive a certificate of completion for the course, issued by the Fundaci贸 Polit猫cnica de Catalunya. Students with outstanding payments due to the Fundaci贸 Polit猫cnica de Catalunya or who has not approved all the credits necessary to overcome the program before the date of completion of this program will not be eligible to receive any qualification, diploma or certificate.

Barcelona, October 31, 2017


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