Veranstaltungsverzeichnis

Lehrveranstaltungen WiSe 2021/2022

Medical Biometry / Biostatistics, M.Sc.

Veranstaltungen anzeigen: alle | in englischer Sprache | für ältere Erwachsene | mit Nachhaltigkeitszielen

Modulbereich Biometrie

VAKTitel der VeranstaltungDozentIn
03-8A21Komplexe Statistische Modellierung (in englischer Sprache)
Complex Statistical Modelling

Vorlesung
ECTS: 6

Termine:
wöchentlich Mi 13:00 - 16:00 Vorlesung
wöchentlich Do 10:00 - 11:00 Übung
wöchentlich Do 11:00 - 12:00 Übung
Dr. Martin Scharpenberg
03-8A71Multiple Testprobleme (in englischer Sprache)
Multiple Testing Problems

Vorlesung
ECTS: 3

Termine:
wöchentlich Do 08:00 - 10:00 Vorlesung
wöchentlich Do 10:00 - 11:00 Übung
wöchentlich Do 11:00 - 12:00 Übung
Dr. Martin Scharpenberg
03-8A74Bayes-Statistics (in englischer Sprache)

Seminar
ECTS: 3

Termine:
wöchentlich Di 13:00 - 15:00 Seminar
Prof. Dr. Werner Brannath
03-442Nichtparametrische Methoden (in englischer Sprache)
Non-Parametric Methods

Seminar
ECTS: 3

Termine:
wöchentlich Do 14:00 - 16:00 Seminar
Dr. Werner Wosniok

Modulbereich Anwendungsfelder und biomedizinische Grundlagen

VAKTitel der VeranstaltungDozentIn
03-8A72Survival Analysis (in englischer Sprache)

Vorlesung
ECTS: 3

Termine:
wöchentlich Di 10:00 - 12:00 Vorlesung
wöchentlich Do 16:00 - 17:00
Prof. Dr. Vanessa Didelez
03-8B33Medizin III (Onkologie) (in englischer Sprache)
Onkology (Medicine III)

Vorlesung
ECTS: 2

Termine:
wöchentlich Di 15:00 - 17:00 Vorlesung

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

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

Seminar

Termine:
wöchentlich Mi 10:00 - 12:00 Seminar

Einzeltermine:
Mi 26.01.22 09:30 - 13:00

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

Prof. Dr. Iris Pigeot-Kübler

Wahlbereich

VAKTitel der VeranstaltungDozentIn
03-8A73Advanced Methods for Adaptive Designs (in englischer Sprache)

Vorlesung
ECTS: 1

Termine:
wöchentlich Do 13:00 - 14:00 Vorlesung
Prof. Dr. Werner Brannath
03-M-GS-9Workshop on Stata (in englischer Sprache)

Seminar
ECTS: 1

Einzeltermine:
Fr 05.11.21 - So 07.11.21 (So, Fr, Sa) 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

Sonstige Veranstaltungen

VAKTitel der VeranstaltungDozentIn
03-M-GS-5Statistische Beratung (in englischer Sprache)
Statistical Consulting

Seminar
ECTS: 3

Termine:
wöchentlich Fr 10:00 - 12:00 Seminar
Dr. Martin Scharpenberg
03-M-GS-7Einführung in R (in englischer Sprache)
Introduction to R

Seminar
ECTS: 3

Termine:
wöchentlich Fr 13:00 - 16:00
Prof. Dr. Werner Brannath
03-M-GS-9Workshop on Stata (in englischer Sprache)

Seminar
ECTS: 1

Einzeltermine:
Fr 05.11.21 - So 07.11.21 (So, Fr, Sa) 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