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330097 VO Advanced Biostatistics (2021W)
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REMOTE
LV für Masterstudium: Voraussetzung Zulassung zum Masterstudium
Registration/Deregistration
Note: The time of your registration within the registration period has no effect on the allocation of places (no first come, first served).
Details
Language: German
Examination dates
- Tuesday 01.02.2022 10:00 - 12:30 Digital
- Monday 28.03.2022 10:00 - 12:30 Digital
- Monday 25.04.2022 10:00 - 12:30 Digital
- Monday 16.05.2022 14:00 - 15:30 Digital
- Monday 30.05.2022 10:00 - 12:30 Digital
- Tuesday 13.12.2022
Lecturers
Classes (iCal) - next class is marked with N
- Friday 01.10. 13:15 - 14:45 Digital
- Friday 08.10. 13:15 - 14:45 Digital
- Friday 15.10. 13:15 - 14:45 Digital
- Friday 22.10. 13:15 - 14:45 Digital
- Friday 29.10. 13:15 - 14:45 Digital
- Friday 05.11. 13:15 - 14:45 Digital
- Friday 12.11. 13:15 - 14:45 Digital
- Friday 19.11. 13:15 - 14:45 Digital
- Friday 26.11. 13:15 - 14:45 Digital
- Friday 03.12. 13:15 - 14:45 Digital
- Friday 10.12. 13:15 - 14:45 Digital
- Friday 17.12. 13:15 - 14:45 Digital
- Friday 07.01. 13:15 - 14:45 Digital
- Friday 14.01. 13:15 - 14:45 Digital
- Friday 21.01. 13:15 - 14:45 Digital
- Friday 28.01. 13:15 - 14:45 Digital
Information
Aims, contents and method of the course
The lecture will be given online as video-conference via moodle. Date and time: Starting from 2 October, every Friday from 15:00 to 16:30. The aim is to learn about essential biostatistical methods. An understanding about the application of these methods in the field of nutrition science should also be gained. The following statistical topics/methods are covered and illustrated by examples: Types of studies and experimental design, regression, nonparametric tests, and multiple testing. The use of statistical software (R) is also demonstrated.
Assessment and permitted materials
Due to the current measures to end the SARS CoV-2 epidemic, the exam will take place as oral online exam. No externail aids, except for a calculator, are allowed. Each candidate will be asked questions out of three thematic areas of the lecture contents. In each area, up to 8 points can be achieved. Hence, the total number of points that can be achieved is 24.
The maximal number of points is 24, for a positive grade at least 12 points need to be achieved. For a positive grade at least 12 points need to be achieved. The examination takes 30 minutes per participant.
(Previously and after the end of the corrent measures: Written exam with questions asking for numeric calculations and theoretical questions. A collection of required formulas and a calculator may be used during the exam. The maximal number of points is 24, for a positive grade at least 12 points need to be achieved. The written examination takes 90 minutes.)
The maximal number of points is 24, for a positive grade at least 12 points need to be achieved. For a positive grade at least 12 points need to be achieved. The examination takes 30 minutes per participant.
(Previously and after the end of the corrent measures: Written exam with questions asking for numeric calculations and theoretical questions. A collection of required formulas and a calculator may be used during the exam. The maximal number of points is 24, for a positive grade at least 12 points need to be achieved. The written examination takes 90 minutes.)
Minimum requirements and assessment criteria
At least 12 points in the examination are required to pass.
Examination topics
The scope of the examination covers all contents presented in the lecture, in particular, lecture notes and the collection of exercises are relevant documents to prepare for the examination. Questions will address theoretical concepts as well as require actual calculations in numeric examples.
Reading list
Lecture notes and excercises will be available online at the moodle platform. Furhter recommended literature:
Induktive Statistik, Helge Toutenburg und Christian Heumann, 4. Auflage 2008, Springer Verlag; Lineare Modelle, Helge Toutenburg, 2. Auflage 2003, Physica Verlag; Medizinische Statistik, Leonhard Held, Kaspar Rufibach und Burkhardt Seifert, 2013, Pearson Studium
Induktive Statistik, Helge Toutenburg und Christian Heumann, 4. Auflage 2008, Springer Verlag; Lineare Modelle, Helge Toutenburg, 2. Auflage 2003, Physica Verlag; Medizinische Statistik, Leonhard Held, Kaspar Rufibach und Burkhardt Seifert, 2013, Pearson Studium
Association in the course directory
Last modified: Fr 12.05.2023 00:24