Fundamentals in Clinical Trials, EJP RD partners and collaborators (ECRIN, UKA and APHP) recommend the following three freely accessible online courses:
EURORDIS Medical research and development (Very Beginner level)
- Short description: Many aspects of medical research concern problem solving and asking the right questions. In this course, you will be able to learn more about the process of medicine discovery, such as pre-clinical testing, clinical trials and the methodology and statistics used in medicine development, including evidence-based medicine, blinding and study protocol. This course also includes training on the development of medicines for small populations.
- Topics covered: Study design, controlled trial, randomisation, endpoints, criteria of inclusion, analysis of results
- Provider: EURORDIS
- Level: Very beginner
- Language: English
- Cost: Free
- Venue: Online
- Duration: 1-2 days
- Certificate of completion: Available/ Free
Design and Interpretation of Clinical Trials (Basic level)
- Short Description: The course will explain the basic principles for the design of randomized clinical trials and how they should be reported. In the first part of the course, students will be introduced to terminology used in clinical trials and the several common designs used for clinical trials, such as parallel and cross-over designs. The course will also explain some of the mechanics of clinical trials, like randomization and blinding of treatment. In the second half of the course, clinical trials analysis and interpretation will be explained. Finally, the course will provide a review the essential ethical consideration involved in conducting experiments on people.
- Topics covered: Types of Trial Designs: parallel, crossover, group allocation, factorial, large simple, equivalency, non-inferiority, and adaptive designs.
- Provider: Johns Hopkins University via Coursera
- Level: Basic
- Language: English
- Cost: Free
- Venue: Online
- Duration: 6 weeks; 2-3 h per week
- Certificate of Completion: Available/ Paid
Study Designs in Epidemiology (Advanced level)
- Short Description: the course is an Introduction to Study Designs: Ecological and Cross-Sectional Studies
- Topics covered: The main epidemiological study designs, including cross-sectional and ecological studies, case-control and cohort studies, as well as the more complex nested case-control and case-cohort designs. The final module is dedicated to randomised controlled trials, which is often considered the optimal study design, especially in clinical research. You will also develop the skills to identify strengths and limitations of the various study designs. By the end of this course, you will be able to choose the most suitable study design considering the research question, the available time, and resources.
- Provider: Imperial College London via Coursera
- Level: Advanced
- Language: English
- Cost: Free
- Venue: Online
- Duration: 4 weeks; 2-4 h per week
- Certificate of Completion: Available/ Paid
An intermediate Course is currently under preparation to address Clinical Trials Methodologies in Rare Diseases. Stay Tuned.
In partnership with IOR (ERN-BOND), APHP (Necker) and UKA, EJP RD delivered and will continue to deliver advanced webinars addressed to people willing to conduct clinical research in rare diseases with the objective to train them in terminology, communication and understanding of RD clinical trial methodology. The webinars are organized as a series of lectures presented by experts in the specific topics.
The webinars listed below have taken place so far, covering the following topics:
Does randomization matter in Clinical Trials? (VIDEO)
Speaker’s Presentation (PDF)
Lecturer: Prof. Ralf-Dieter Hilgers- RWTH Aachen University, Germany
The objectives of the webinar are:
- To learn about other randomization procedures beyond the most frequently applied permuted bock randomization in a fixed sample scenario,
- To understand properties of different randomization procedures beyond balancing sample sizes,
- To argue, which randomization procedure fits best in a particular trial setting,
- To know about the potential advantages of randomization from design to analysis of clinical trials in RD.
Composite endpoints including patient relevant endpoints Quality of Life (VIDEO)
Speaker’s Presentation (PDF)
Lecturer: Dr. Johan Verbeeck- Hasselt University, Belgium.
The objectives of the webinar are:
- To learn about procedures to combine multiple endpoints and its limitations,
- To argue that generalized pairwise comparison is a suitable method to combine any number and type of endpoints (including QoL) in small samples,
- To understand the properties and the flexibility of the class of generalized pairwise comparison tests,
- To know the potential advantages and disadvantages of designing a clinical trial in rare disease with generalized pairwise comparisons primary analysis.
The Statistical Evaluation of Surrogate Endpoints in Clinical Trials (VIDEO)
Speaker’s Presentation (PDF)
Lecturer: Prof. Geert Molenberghs- Hasselt University and KU Leuven, Belgium
The objectives of the webinar are:
- To get an overview of the methodological developments in surrogate endpoint evaluation over the last 30 years,
- To understand practical use,
- To understand promise and limitations,
- To understand how they can be useful in the context of rare diseases
Statistical and Operational Challenges with Master Protocols (VIDEO)
Speaker’s Presentation (PDF)
Lecturer: Prof. Franz König – Medical University of Vienna.
The objectives of the webinar are:
- To learn about master protocols and the differences between basket, umbrella and platform trials
- To understand the difference between traditional drug development programs and more complex designs like platform trials using a master protocol
- To understand the key statistical challenges with respect to multiplicity and sharing control data across the platform trial
- To know the potential advantages and disadvantages of designing and running platform trials in rare disease
Replicated N of 1 Randomized Controlled Trials for Rare Diseases (VIDEO)
Speaker’s Presentation (PDF)
Lecturer: Prof. Patrick Onghena – KU Leuven, Belgium.
The objectives of the lecture are:
- To present replicated N-of-1 RCTs as an option to test evidence-based treatments for patients with rare diseases.
- To discuss the advantages and disadvantages of replicated N-of-1 RCTs for rare diseases.
- To demonstrate the use of simple and sound statistical methods for the analysis of data collected in N-of-1 RCTs and replicated N-of-1 RCTs.
Item response models for analysing assessments in rare diseases (VIDEO)
Speaker’s Presentation (PDF)
Lecturer: Prof. Mats Karlsson- Uppsala University, Sweden.
The objectives of the webinar are:
- How item response theory models are constructed based on clinical outcome assessments results
- Properties of item response theory models
- Potential usefulness of item response theory models in the development of new therapies of rare diseases
“Real-World data, Machine learning and Deep analytics in rare diseases: Regulatory grade data collection for marketing authorization submissions – what is buzz, what is realistic?” (VIDEO)
Presentation Marc Van Dijk (PDF)
Presentation Luis Pinheiro (PDF)
Lecturers:
Marc Van Dijk (UCB Pharma)
Luis Pinheiro (European Medicines Agency)
During this webinar speakers, panelists and participants discussed:
- How to plan for the data needs for the future of medicine development for rare diseases.
- How to anticipate the scope, depth, and quality of data that will be required to generate reliable evidence suitable for regulatory use cases.
- The tools that are available to make data collection accessible for these uses.
Video timestamps:
- Keynote presentations
00:00:01 Marc Van Dijk (UCB): Data and technologies that offer solutions for challenges in rare diseases
00:22:15 Luis Pinheiro (EMA): From Data to Decision - Panel discussion (highlights on some questions discussed)
(Jose/patient, Cécile/regulatory science, Meelis/tech developer, Dinko & Tom/drug developers, Luis/regulator)
00:48:05 Points to consider when using new technologies to generate robust data
01:01:27 Solutions to develop better data (technologies and examples)
01:03:30 Synthetic data (part 1: context of use, value)
01:06:40 AI doctor (scientific and regulatory validation)
01:07:22 Synthetic data (part 2: regulator’s perspective)
01:08:27 AI doctor (acceptability of technologies, patient perspective)
01:10:35 Conventional methods vs. New technologies and methods
01:12:02 Data protection aspects when generating regulatory evidence
01:13:36 Pre-competitive collaboration to de-risk and accelerate progress
01:15:55 Evolution of technology and its limitation
01:18:12 Blockchain in drug development
01:19:20 Key principles/imperatives from understanding the disease up to regulatory context
01:28:45 Interplay between medicines and medtech and AI regulations
01:31:50 Patient perspective on digital health technologies
01:33:05 Take home message – recommendations from the panel
- The Statistical Evaluation of Surrogate Endpoints in Clinical Trials
- Composite endpoints including patient relevant endpoints Quality of Life
- Does randomization matter in Clinical Trials?
- Statistical and Operational Challenges with Master Protocols
- Replicated N of 1 Randomized Controlled Trials for Rare Diseases