MasterClass in Biostatistics and Epidemiology to critically appraise scientific communications À distance

Dernière mise à jour : 28/10/2025

Bannière visuelle de présentation de la formation
"Because veterinarians are responsible for the medical care of their patients, it is also their responsibility to understand inferences about treatments presented in papers.” (Evans 2007)

Tarif particulier

For junior (i.e., age ≤ 30 years old): 450€

Description

Day 1 – theoretical lectures with strong interaction with participants

Fundamental basics in statistical testing, interpretations and misinterpretations of alpha, beta, and p-values, statistical power and sample size calculation, introduction to survival analysis and Kaplan-Meier curves.

Day 2 - theoretical lectures with strong interaction with participants

Quantification of associations and biases, introduction to multivariate regression models, study design for causal inference.

Day 3 - practicals on published papers

Critical appraisal of statistical methods and results presented in papers, interpreting results from a survival analysis, statistical power of a study and sample size calculation.

Day 4 – practicals on published papers

Anticipating and discussing the presence of biases for causal inference, interpretation of results from univariate and multivariate regression models, critical appraisal of clinical messages delivered in published papers

Objectifs de la formation

At the end of the 4-day MasterClass, participants will be able to analyse the consistency between the statistical 
methods used to obtain the results of published studies and the clinical message(s) based on these results. The 
MasterClass will focus on comparative studies only (case-control studies, cohort studies, clinical trials) in order to 
make causal inference (suggesting a causal association from a significant result in the study). To reach this 
objective, participants will be able to understand the statistical analyses performed by scientists and to interpret 
the statistical results. There will be no data manipulation with a statistical software, since performing data 
analyses is not the objective of this MasterClass.

Public visé

Veterinary residents or interns, PhD students, academic staff, and veterinary surgeons from private companies or 
clinics involved in clinical veterinary research. Non veterinarians can attend the MasterClass if the maximum 
number of participants has not been reached. 


Maximum number of participants: 20.

Prérequis

Having read scientific papers presenting results with p-values in (veterinary) clinical research. There are no 
prerequisites about being able to perform statistics.

Modalités pédagogiques

This MasterClass is 100% online and will be held on the 26th, 27th, 30th, and 31st of March, 2026. It comprises lectures 
the first two days (before the week-end), and practicals the next two days (after the week-end). Practicals will be 
based on results presented in papers published in international per-reviewed veterinary journals. The participants 
will be asked to prepare the practicals during the week-end (reading of papers). 

 

Points CFC_ECTS : 3,15

 

Moyens et supports pédagogiques

Teams® from Microsoft. It is highly recommended to download the free app' by clicking here. A webcam and a 
micro are necessary to follow and to participate properly during the MasterClass. It will be asked to all participant 
to activate their webcam all the time during lectures and practicals.

Modalités d'évaluation et de suivi

Necessary attendance of the 4 days of the MasterClass

Informations sur l'admission

To register in a foreign language, please use the translation feature located at the top right of the page.

Profil du / des Formateur(s)

Loic Desquilbet, PhD in Public Health and Epidemiology, Professor in Biostatistics and Clinical Epidemiology at the 
Ecole nationale vétérinaire d'Alfort (Click here for publications in peer reviewed journals).

POINTS ECTS

3,15

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Détail des créneaux de la session sélectionnée :
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Prochaines Sessions

  • 26/03/26 → 31/03/26 Nouveauté À distance
    Classe virtuelle 20 places restantes

Partager cette formation

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