Code | Type | Head of UE | Department’s contact details | Teacher(s) |
---|---|---|---|---|
UM-B2-MEDECI-007-M | Compulsory UE | LELUBRE Christophe |
Language of instruction | Language of assessment | HT(*) | HTPE(*) | HTPS(*) | HR(*) | HD(*) | Credits | Weighting | Term |
---|---|---|---|---|---|---|---|---|---|
Français | 0 | 0 | 0 | 0 | 0 | 2 | 2 |
AA Code | Teaching Activity (AA) | HT(*) | HTPE(*) | HTPS(*) | HR(*) | HD(*) | Term | Weighting |
---|---|---|---|---|---|---|---|---|
M-DOYM-046 | 100% |
Unité d'enseignement | ||
---|---|---|
UM-B1-MEDECI-005-M Introduction aux statistiques biomédicales | ||
UM-B1-MEDECI-004-M Introduction mathématique aux sciences de la vie |
Objectives of general skills
- 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 apply mathematical translations of large models and biological phenomena through abstract reasoning
- Understand and use different graphical representations of numerical values and their relationships
- Demonstrate interpersonal skills developed within a medical context
- Understand the basic rules of French (grammar, punctuation, connectors, etc.)
- 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
- Use a hypothesis in inductive, deductive or abductive reasoning
- Develop critical thinking, test and monitor conclusions understanding the domain of validity, and explore alternative hypotheses
- Integrate reasoning in clinical approaches
- Manage doubt and uncertainty
- Manage their studies
- Read, interpret, and critique a scientific article
- Be a responsible practitioner
- Base reasoning on the data taken from scientific literature (evidence-based-medicine)
UE's Learning outcomes
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
UE Content
<u>Basics of statistical hypothesis test</u> : 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
<u>Tests assessing the normality of a distribution</u> : Shapiro-Wilk and Kolmogorov-Smirnov tests; uses and practical examples; graphical methods including QQ plots; data transformations
<u>Comparisons of two means</u> : uses in medicine; 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
<u>Comparisons of two proportions</u> : uses in medicine ; 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
<u>Comparisons of more than two sample means</u> : uses in medicine; one-way ANOVA : basics, ANOVA table; homoscedasticity, interpretation of the results of an ANOVA test; non parametric approaches (Kruskal-Wallis and Friedman)
<u>Linear correlation in medicine</u> : how to compute r and its confidence interval (Fisher's transformations); tests on r; test on the slope of the linear regression
<u>Diagnostic tests in medicine and introduction to Bayesian reasoning</u>
Prior experience
Introduction to medical biostatistics (BA1 course)
Term 1 for Integrated Assessment - type
- Written examination
Term 2 for Integrated Assessment - type
- N/A
Term 3 for Integrated Assessment - type
- Written examination
Resit Assessment for IT - Term 1 (B1BA1) - type
- Written examination
Type of Teaching Activity/Activities
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M-DOYM-046 |
Mode of delivery
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M-DOYM-046 |
Required Reading
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M-DOYM-046 |
Required Learning Resources/Tools
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M-DOYM-046 |
Recommended Reading
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M-DOYM-046 |
Recommended Learning Resources/Tools
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M-DOYM-046 |
Other Recommended Reading
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M-DOYM-046 |
Term 1 Assessment - type
AA | |
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M-DOYM-046 |
Term 1 Assessment - comments
AA | |
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M-DOYM-046 |
Resit Assessment - Term 1 (B1BA1) - type
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M-DOYM-046 |
Resit Assessment - Term 1 (B1BA1) - Comments
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M-DOYM-046 |
Term 2 Assessment - type
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M-DOYM-046 |
Term 2 Assessment - comments
AA | |
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M-DOYM-046 |
Term 3 Assessment - type
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M-DOYM-046 |
Term 3 Assessment - comments
AA | |
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M-DOYM-046 |