Study programme 2020-2021 | Français | ||
Medical Statistics | |||
Learning Activity |
Code | Lecturer(s) | Associate Lecturer(s) | Subsitute Lecturer(s) et other(s) | Establishment |
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M-DOYM-046 |
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Language of instruction | Language of assessment | HT(*) | HTPE(*) | HTPS(*) | HR(*) | HD(*) | Term |
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Français | Français | 15 | 15 | 0 | 0 | 0 | Q1 |
Organisational online arrangements for the end of Q3 2020-2021 assessments (Covid-19) |
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Description of the modifications to the Q3 2020-2021 assessment procedures (Covid-19) |
The exam will cover the entire course with an emphasis on understanding the concepts seen in the course. It will be done in a written way, remotely (Moodle Examens) in the form of multiple choice questions. It can be done in an open class. |
Organisational arrangements for the end of Q1 2020-2021 assessments (Covid-19) online or face-to-face (according to assessment schedule)
Description of the modifications to the Q1 2020-2021 online assessment procedures (Covid-19) online or face-to-face (according to assessment schedule)
The exam will cover the entire course with an emphasis on understanding the concepts seen in the course. It will be done in a written way, remotely (Moodle Examens) in the form of multiple choice questions. It can be done in an open class.
Content of Learning Activity
Basics of statistical hypothesis test : null and alternative hypothesis; unilateral and bilateral tests; power of a test : concept and uses; 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 in medicine : 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
Required Learning Resources/Tools
Not applicable
Recommended Learning Resources/Tools
Not applicable
Other Recommended Reading
* 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).
Mode of delivery
Type of Teaching Activity/Activities
Evaluations
The assessment methods of the Learning Activity (AA) are specified in the course description of the corresponding Educational Component (UE)