Module MA4947-KP05

Duration

1 Semester

Turnus of offer

every second year

Credit points

5

Course of studies, specific fields and terms:

• Master CLS 2023, optional subject, mathematics
• Bachelor CLS 2023, optional subject, mathematics
• Bachelor CLS 2016, optional subject, mathematics
• Master CLS 2016, optional subject, mathematics

Classes and lectures:

• Nonparametric statistics (exercise, 1 SWS)
• Nonparametric statistics (lecture, 2 SWS)

Workload:

• 15 hours exam preparation
• 30 hours work on project
• 45 hours in-classroom work
• 60 hours private studies

Contents of teaching:

• Application scenarios for modern nonparametric methods
• Permutation tests
• Rank-based tests and effect measures
• Evaluation of methods through simulation studies

Qualification-goals/Competencies:

• Knowledge of the most important nonparametric statistical methods
• Understanding of the respective advantages and disadvantages of parametric and nonparametric methods
• Competence in the selection of appropriate methods in application situations
• Experience in planning, conducting and interpreting simulation studies for method’s evaluation

Grading through:

• project work
• Viva Voce or test

Requires:

• Biostatistics 2 (MA2600-KP07)
• Biostatistics 1 (MA1600-KP04, MA1600, MA1600-MML)

Responsible for this module:

• Prof. Dr. rer. nat. Silke Szymczak

Teacher:

• Institute of Medical Biometry and Statistics
• Prof. Dr. rer. nat. Silke Szymczak
• MitarbeiterInnen des Instituts

Literature:

• Edgar Brunner, Arne C. Bathke, Frank Konietschke : Rank and Pseudo-Rank Procedures for Independent Observations in Factorial Designs ISBN – 978-3-030-02912-8

Language:

• offered only in German

Notes:

Last Updated:

12.09.2024