Study programmeFrançais
Introduction to Biomedical Statistics
Programme component of Bachelor's Degree in Medicine à la Faculty of Medicine and Pharmacy
CodeTypeHead of UE Department’s
contact details
Teacher(s)
UM-B1-MEDECI-005-MCompulsory UELELUBRE ChristopheM101 - FMP - Service du Doyen
  • LELUBRE Christophe

Language
of instruction
Language
of assessment
HT(*) HTPE(*) HTPS(*) HR(*) HD(*) CreditsWeighting Term
  • Français
Français1500002.002.00

AA CodeTeaching Activity (AA) HT(*) HTPE(*) HTPS(*) HR(*) HD(*) Term Weighting
M-DOYM-051Introduction to Biomedical Statistics150000Q2100.00%
Unité d'enseignement

Objectives of Programme's Learning Outcomes

  • Describe, organise, analyse and prioritise the phenomena observed in the medical field
    • Understand the expression of biological realities in absolute or relative terms, the orders of magnitude, proportions and probability
    • Understand and use different graphical representations of numerical values and their relationships
  • Develop reasoning skills
    • Understand and apply the basic principles of reasoning (obtaining data, analysis, synthesis, comparison, the rule of three, syllogism, analogy, Boolean logic, etc.)
    • Understand and apply Bayesian inference
    • Manage doubt and uncertainty
  • Manage their studies
    • Read, interpret, and critique a scientific article

Learning Outcomes of UE

<u>Learning outcomes</u> Learning outcomes include : - Understanding main tools used in descriptive statistics and know how to use them practically - Being able to interpret graphical outputs such as box plots - Understand basic principles and compute correlation coefficients (Pearson) and linear regression - Being able to compute confidence intervals and understand their meaning - Understand basis of inferential statistics which is a fundamental prerequisite before taking statistics course in BA2.

Content of UE

Definition and aims of biostatistics. Variability in medicine. Types of variables. Univariate descriptive statistics (localisation and dispersion parameters) and graphical output.Bivariate descriptive statistics (linear correlation and simple linear regression) Frequency and probability of event. Elements of combinatorics. Random variable (discrete and continuous). Probability density function. Central limit theorem. Binomial and Poisson laws. Normal and Z law. Use of statistical tables. Confidence interval for means and percentages.

Prior Experience

Sans objet

Type of Assessment for UE in Q1

  • N/A

Q1 UE Assessment Comments

Not applicable

Type of Assessment for UE in Q2

  • Written examination

Q2 UE Assessment Comments

Multiple choice and open questions

Type of Assessment for UE in Q3

  • Written examination

Q3 UE Assessment Comments

Multiple choice and open questions

Type of Resit Assessment for UE in Q1 (BAB1)

  • N/A

Q1 UE Resit Assessment Comments (BAB1)

Not applicable

Type of Teaching Activity/Activities

AAType of Teaching Activity/Activities
M-DOYM-051
  • Cours magistraux

Mode of delivery

AAMode of delivery
M-DOYM-051
  • Face to face

Required Reading

AA
M-DOYM-051

Required Learning Resources/Tools

AARequired Learning Resources/Tools
M-DOYM-051Not applicable

Recommended Reading

AA
M-DOYM-051

Recommended Learning Resources/Tools

AARecommended Learning Resources/Tools
M-DOYM-051Not applicable

Other Recommended Reading

AAOther Recommended Reading
M-DOYM-051• Thierry Ancelle, Statistique - Epidémiologie (3è Edition). Editions Maloine, 2011 (également conseillé pour les cours de statistique et épidémiologie de BA2). • Jean Bouyer, Méthodes statistiques - Médecine - Biologie. Editions Estem, 1996.

Grade Deferrals of AAs from one year to the next

AAGrade Deferrals of AAs from one year to the next
M-DOYM-051Autorisé
Date de génération : 17/03/2017
20, place du Parc, B7000 Mons - Belgique
Tél: +32 (0)65 373111
Courriel: info.mons@umons.ac.be