Biostatistics II - multivariate analysis
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Teaching
Details
Faculty Faculty of Science and Medicine Domain Biology Code UE-SBL.20002 Languages English Type of lesson Exercise
Lecture
Level Master Semester SA-2022 Title
French Biostatistiques II - analyse multivariée German Biostatistik II - Multivariate Analyse English Biostatistics II - multivariate analysis Schedules and rooms
Summary schedule Thursday 09:15 - 12:00, Hebdomadaire (Autumn semester)
Contact's hours 28 Teaching
Responsibles Teachers Description Students will learn basic and advanced techniques in multivariate analyses, they will perform exercises with data from ecological experiments. Specifically, the following topics will be introduced: data type and transformation; similarity and distance matrices; Mantel and partial Mantel tests; clustering technics; principal component analysis (PCA), correspondence analysis (CA), and non-metric multidimensional analysis (NMDS); redundancy analysis (RDA) and canonical correspondence analysis (CCA); multivariate analysis of variance (MANOVA); co-correspondence analysis (COCA); the fourth-corner problem. This course is given biennially and alternates with Biostatistics I - generalized linear models and mixed effects models.
Softskills No Off field Yes BeNeFri Yes Mobility Yes UniPop No Documents
Bibliography Please consult the Moodle page of the course.
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Dates and rooms
Date Hour Type of lesson Place 27.10.2022 09:15 - 12:00 Cours PER 07, Room 1.309 03.11.2022 09:15 - 12:00 Cours PER 07, Room 1.309 10.11.2022 09:15 - 12:00 Cours PER 07, Room 1.309 17.11.2022 09:15 - 12:00 Cours PER 07, Room 1.309 24.11.2022 09:15 - 12:00 Cours PER 07, Room 1.309 01.12.2022 09:15 - 12:00 Cours PER 07, Room 1.309 08.12.2022 09:15 - 12:00 Cours PER 07, Room 1.309 15.12.2022 09:15 - 12:00 Cours PER 07, Room 1.309 22.12.2022 09:15 - 12:00 Cours PER 07, Room 1.309 -
Assessments methods
Oral exam - SA-2022, Session d'hiver 2023
Date 30.01.2023 08:40 - 11:55 Assessments methods By rating Descriptions of Exams Oral exam (20 min); one mark.
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Assignment
Valid for the following curricula: Additional Courses in Sciences
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