Study programme 2020-2021Français
Notions de statistique médicale
Programme component of Bachelor's in Pharmacy à la Faculty of Medicine and Pharmacy

Students are asked to consult the ECTS course descriptions for each learning activity (AA) to know what special Covid-19 assessment methods are possibly planned for the end of Q3

CodeTypeHead of UE Department’s
contact details
UM-B2-PHARMA-018-MCompulsory UELELUBRE ChristopheM101 - FMP - Service du Doyen
  • LELUBRE Christophe

of instruction
of assessment
HT(*) HTPE(*) HTPS(*) HR(*) HD(*) CreditsWeighting Term
  • Français
Français151500033.001st term

AA CodeTeaching Activity (AA) HT(*) HTPE(*) HTPS(*) HR(*) HD(*) Term Weighting
M-DOYM-046Medical Statistics1515000Q1100.00%
Programme component

Objectives of Programme's Learning Outcomes

  • 1. Pharmaceutical expertise: Use a foundation of concepts and knowledge in health sciences and pharmaceutical sciences.
    • Understand and apply mathematical translations of large models and chemical and/or biological phenomena through abstract reasoning
    • Understand and use different graphical representations of numerical values and their relationships
  • 2. Scientific method: Solve pharmaceutical problems using their knowledge and critical mind.
    • Understand and apply the basic principles of reasoning (obtaining data, analysis, synthesis, comparison, the rule of three, syllogism, analogy, Boolean logic, etc.)
    • Understand and use statistical methods
    • Use a hypothesis in inductive, deductive or abductive reasoning
    • Develop a critical, practical and analytical mind
    • Manage doubt and uncertainty
    • Develop and rigorously manage an experimental protocol (from information gathering to the production, interpretation and presentation of results).
  • 5. Quality: Assess themself, expand their knowledge and adapt their attitude.
    • Research, read, interpret, and critique a scientific paper with sufficient knowledge of scientific English

Learning Outcomes of UE

At the end of this course, students will be able to :
- Understand basic principles of statistical hypothesis tests
- Understand basic tools used to assess normality of a distribution
- Compare central tendencies of two or more than two groups
- Compare proportions, use statistical tests of significance and compute odds ratios and related tools
- Analyze the relationship between quantitative variables : tests for linear correlation, linear regression analysis
- Understand basic principles of diagnostic tools used in medicine, and principles of Bayesian reasoning

Content of UE

Basics of statistical hypothesis test : null and alternative hypothesis; unilateral and bilateral tests; power of a test : concept and uses in medicine; number of subjects to include in a trial : basics and practical applications
Tests assessing the normality of a distribution : Shapiro-Wilk and Kolmogorov-Smirnov tests; uses and practical examples; graphical methods including QQ plots; data transformations
Comparisons of two means : uses; Z-test; Student t test; Fisher's test for comparison of two variances; Welch's test; Mann-Whitney and Wilcoxon tests; tests in case of paired samples : paired t-test and Wilcoxon paired test
Comparisons of two proportions : uses; relative risk and odds ratio; confidence interval of an odds ratio; contingency tables; chi2 tests and related tests (Yates correction, Mc Nemar); Fisher's exact test
Comparisons of more than two sample means : uses; one-way ANOVA : basics, ANOVA table; homoscedasticity, interpretation of the results of an ANOVA test; non parametric approaches (Kruskal-Wallis and Friedman)
Linear correlation : how to compute r and its confidence interval (Fisher's transformations); tests on r; test on the slope of the linear regression
Diagnostic tests and introduction to Bayesian reasoning.

Prior Experience


Type of Assessment for UE in Q1

  • Written examination

Q1 UE Assessment Comments


Type of Assessment for UE in Q3

  • Written examination

Q3 UE Assessment Comments


Type of Resit Assessment for UE in Q1 (BAB1)

  • N/A

Q1 UE Resit Assessment Comments (BAB1)


Type of Teaching Activity/Activities

AAType of Teaching Activity/Activities
  • Cours magistraux

Mode of delivery

AAMode of delivery
  • Mixed

Required Reading


Required Learning Resources/Tools

AARequired Learning Resources/Tools
M-DOYM-046Not applicable

Recommended Reading


Recommended Learning Resources/Tools

AARecommended Learning Resources/Tools
M-DOYM-046Not applicable

Other Recommended Reading

AAOther Recommended Reading
M-DOYM-046* Thierry Ancelle, Statistique - Epidémiologie (4è Edition). Editions Maloine, 2017 (également conseillé pour les cours de statistique et épidémiologie de BA2). * Jean Bouyer, Méthodes statistiques - Médecine - Biologie. Editions Vuibert, 2017 (également conseillé pour les cours de statistique et épidémiologie de BA2).

Grade Deferrals of AAs from one year to the next

AAGrade Deferrals of AAs from one year to the next
(*) HT : Hours of theory - HTPE : Hours of in-class exercices - HTPS : hours of practical work - HD : HMiscellaneous time - HR : Hours of remedial classes. - Per. (Period), Y=Year, Q1=1st term et Q2=2nd term
Date de génération : 09/07/2021
20, place du Parc, B7000 Mons - Belgique
Tél: +32 (0)65 373111