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Course Catalog

Study Program WiSe 2021/2022

Medical Biometry / Biostatistics, M.Sc.

1. Modulbereich Biometrie

Course numberTitle of eventLecturer
03-8A21Komplexe Statistische Modellierung (in English)
Complex Statistical Modelling

Lecture (Teaching)
ECTS: 6

Dates:
weekly (starts in week: 1) Wed 13:00 - 16:00 Vorlesung
weekly (starts in week: 1) Thu 10:00 - 11:00 Übung
weekly (starts in week: 1) Thu 11:00 - 12:00 Übung
Dr. Martin Scharpenberg
Charlie Hillner
03-8A71Multiple Testprobleme (in English)
Multiple Testing Problems

Lecture (Teaching)
ECTS: 3

Dates:
weekly (starts in week: 1) Thu 08:00 - 10:00 Vorlesung
weekly (starts in week: 1) Thu 10:00 - 11:00 Übung
weekly (starts in week: 1) Thu 11:00 - 12:00 Übung
Dr. Martin Scharpenberg
03-8A74Bayes-Statistics (in English)

Seminar (Teaching)
ECTS: 3

Dates:
weekly (starts in week: 1) Tue 13:00 - 15:00 Seminar
Prof. Dr. Werner Brannath
03-442Nichtparametrische Methoden (in English)
Non-Parametric Methods

Seminar (Teaching)
ECTS: 3

Dates:
weekly (starts in week: 1) Thu 14:00 - 16:00 Seminar
Dr. Werner Wosniok

2. Modulbereich Anwendungsfelder und biomedizinische Grundlagen

Course numberTitle of eventLecturer
03-8A72Survival Analysis (in English)

Lecture (Teaching)
ECTS: 3

Dates:
weekly (starts in week: 1) Tue 10:00 - 12:00 Vorlesung
weekly (starts in week: 1) Thu 16:00 - 17:00
Prof. Dr. Vanessa Didelez
03-8B33Medizin III (Onkologie) (in English)
Onkology (Medicine III)

Lecture (Teaching)
ECTS: 2

Dates:
weekly (starts in week: 1) Tue 15:00 - 17:00 Vorlesung

DozentInnen: MedizinerInnen des KOM
Die Räume werden noch bekannt gegeben.

Stephan Kloep
03-8B53Epidemiology - Journal Club (in English)
Biometric Research in Medicine

Seminar (Teaching)

Dates:
weekly (starts in week: 1) Wed 10:00 - 12:00 Seminar

Additional dates:
Wed 26.01.22 09:30 - 13:00

Die Veranstaltung findet im BIPS, Achterstr. 30, Raum 1.550 statt.

Prof. Dr. Iris Pigeot-Kübler

3. Wahlbereich

Course numberTitle of eventLecturer
03-8A73Advanced Methods for Adaptive Designs (in English)

Lecture (Teaching)
ECTS: 1

Dates:
weekly (starts in week: 1) Thu 13:00 - 14:00 Vorlesung
Prof. Dr. Werner Brannath
03-M-GS-9Workshop on Stata (in English)

Seminar (Teaching)
ECTS: 1

Additional dates:
Fri 05.11.21 - Sun 07.11.21 (Sun, Fri, Sat) 09:00 - 17:00

Target group: Students with basic knowledge of statistics (For e.g.: understanding on normal distribution, t-test, chi-square test, p-value)

Course description: Students will be introduced to performing data management and simple to intermediate statistical analyses using Stata. The students will be using practical examples on how datasets and analyses should be described and documented in order to ensure the reproducibility of their own research.

Precourse preparation: Students are required to acquire short-term (1 – week) license request using the following link
https://www.stata.com/customer-service/short-term-license/
Note: Please apply for license only 2-3 days before the course as the license is valid only for 7 days.

Course content:
 Navigating the Stata interface
 Creating, importing and exporting datasets
 Structure of Stata dataset
 Elements of Stata syntax
 Creating and maintaining do files
 Saving work in log file
 Data management
 Modifying datasets
 Summarizing data
 Graphics and data visualization
 Statistical analysis
 Looping on repeated tasks

Exam and assessment: Students will be assessed via assigned statistical tasks for preparation of do-and log files at the end of the course.

Rajini Nagrani

4. Sonstige Veranstaltungen

Course numberTitle of eventLecturer
03-M-GS-5Statistische Beratung (in English)
Statistical Consulting

Seminar (Teaching)
ECTS: 3

Dates:
weekly (starts in week: 1) Fri 10:00 - 12:00 Seminar
Dr. Martin Scharpenberg
03-M-GS-7Einführung in R (in English)
Introduction to R

Seminar (Teaching)
ECTS: 3

Dates:
weekly (starts in week: 1) Fri 13:00 - 16:00
Charlie Hillner
Prof. Dr. Werner Brannath
03-M-GS-9Workshop on Stata (in English)

Seminar (Teaching)
ECTS: 1

Additional dates:
Fri 05.11.21 - Sun 07.11.21 (Sun, Fri, Sat) 09:00 - 17:00

Target group: Students with basic knowledge of statistics (For e.g.: understanding on normal distribution, t-test, chi-square test, p-value)

Course description: Students will be introduced to performing data management and simple to intermediate statistical analyses using Stata. The students will be using practical examples on how datasets and analyses should be described and documented in order to ensure the reproducibility of their own research.

Precourse preparation: Students are required to acquire short-term (1 – week) license request using the following link
https://www.stata.com/customer-service/short-term-license/
Note: Please apply for license only 2-3 days before the course as the license is valid only for 7 days.

Course content:
 Navigating the Stata interface
 Creating, importing and exporting datasets
 Structure of Stata dataset
 Elements of Stata syntax
 Creating and maintaining do files
 Saving work in log file
 Data management
 Modifying datasets
 Summarizing data
 Graphics and data visualization
 Statistical analysis
 Looping on repeated tasks

Exam and assessment: Students will be assessed via assigned statistical tasks for preparation of do-and log files at the end of the course.

Rajini Nagrani