The courses included in the programme will address  comparative effectiveness research, “the generation and synthesis of evidence that compares the benefits and harms of alternative methods to prevent, diagnose, treat, and monitor a clinical condition or to improve the delivery of care”.

Comparative Effectiveness Research courses

Module (UE)DescriptionLecturers
R-programmeIntroduction to R software, statistical tests with R, linear regression, analysis of variance and analysis of covariance with R, logistic regression with R, random variables, laws of probability, simulation and bootstrap with RElodie PERRODEAU
Methods in randomised controlled trials I (UE1)
General principles for pharmacologic & non-pharmacologic treatments.
Principles, interest, and limits of different experimental designs/transparency of the research
Mike CLARKE - Isabelle BOUTRON
Methods in randomised controlled trials II (UE1)
Specific designs: cluster, N of 1, large sample trials. Methodological issues encountered in evaluating non-pharmacological treatments/adapting of experimental designs. Specific experimental designs (cluster, stepped wedge, split body design)David TORGERSON - Viet-Thi TRAN
Methods in diagnostic tests, biomarkers, and screening evaluation (UE2)Methodological aspects of evaluating diagnostic tests and of biomarkers. Implementation and evaluation of screeningPatrick BOSSUYT - Jérémie COHEN
Methods in systematic reviews and meta-analysis I (UE4)Systematic review of randomised trials, individual patient data meta-analysis. Methods of systematic reviews and meta-analysis: development of the protocol, search and selection of studies, data extraction and assessment of risk of bias.
Meta-analysis: statistical analysis (combined estimation, heterogeneity evaluation, investigation of heterogeneity, bias in publication, use of software). Meta-analysis of personal data: pros and cons, statistical analysis
Methods in systematic reviews and meta-analysis II (UE5)Systematic review of observational studies, systematic review of diagnostic tests. Systematic reviews of observational studies: methodological issues, statistical analysis, methodological aspect of systematic reviews while evaluating a diagnostic testMariska LEEFLANG
Network meta-analysis (UE6)Methods of network meta-analysis: indirect comparison, statistical analysis, publication biasAnna CHAIMANI - Dimitris MAVRIDIS
Methods of observational studies in CER (UE3)Observational studies in Comparative Effectiveness Research. Evaluation of causal effects. Types of studies and statistical analysis.Raphaël PORCHER - Els GOETGHEBEUR - Saskia LE CESSIE - Ingeborg WAERNBAUM
CER and personalised or stratified medicine (UE7)CER and personalised or stratified medicineGary COLLINS - Raphaël PORCHER
Routinely collected data in CER (UE8)Embedded trials, analysis of large scale data setsLars HEMKENS
- Jérôme LAMBERT
CER case studies (UE9)Case studies in Comparative Effectiveness ResearchGerald GARTLEHNER - Viet-Thi TRAN - Joerg MEERPOHL
Thesis defence (UE10)

Classes are full-time and will take place from October 24th 2022 until January 19th 2023 (Monday to Friday, all day) with two weeks of holidays (detailed calendar here). Exams are right after, followed by an internship. See the page “programme” for more details.

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