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330097 VO Advanced Biostatistics (2016W)

LV für Masterstudium: Voraussetzung Zulassung zum Masterstudium

Details

max. 150 participants
Language: German

Examination dates

Lecturers

Classes


LV-Termine:

Fr 14.10.2016, 15:00 - 16:30 Uhr, HS 7, UZA II

Fr 21.10.2016, 15:00 - 16:30 Uhr, HS 7, UZA II

Fr 28.10.2016, 15:00 - 16:30 Uhr, HS 7, UZA II

Fr 04.11.2016, 15:00 - 16:30 Uhr, HS 7, UZA II

Fr 11.11.2016, 15:00 - 16:30 Uhr, HS 7, UZA II

Fr 18.11.2016, 15:00 - 16:30 Uhr, HS 7, UZA II

Fr 25.11.2016, 15:00 - 16:30 Uhr, HS 7, UZA II

Fr 02.12.2016, 15:00 - 16:30 Uhr, HS 7, UZA II

Fr 09.12.2016, 15:00 - 16:30 Uhr, HS 7, UZA II

Fr 16.12.2016, 15:00 - 16:30 Uhr, HS 7, UZA II

Fr 13.01.2017, 15:00 - 16:30 Uhr, HS 7, UZA II

Fr 20.01.2017, 15:00 - 16:30 Uhr, HS 7, UZA II

Fr 27.01.2017, 15:00 - 16:30 Uhr, HS 7, UZA II


Information

Aims, contents and method of the course

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

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.

Minimum requirements and assessment criteria

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.

Examination topics

Lectures demonstrating methodology and their application

Reading list

Vorlesungsunterlagen werden auf der online Plattform moodle zur Verfügung gestellt. Weiterführende Literatur:
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: Mo 07.09.2020 15:44