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Root number
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489919 |
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Semester
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FS2026 |
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Type of course
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Course |
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Allocation to subject
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Health Sciences |
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Type of exam
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Presentation |
| Title |
Research methods |
| Description |
Description
In this course, the content is divided into two main parts. In the first half, students present their ongoing publication projects, focusing on their statistical analysis plans and addressing statistical issues. These are discussed and resolved collaboratively with experienced statisticians, Dr. Stefan Lerch and Dr. Silvano Sele. The second half of the course features presentations on topics of general relevance to early-career researchers, delivered by advanced doctoral students, post-doctoral researchers and clinician scientists.
Course Structure
- Format A: PhD students present their current paper projects. This includes a brief presentation of the research question, followed by a joint review of the analysis strategy and its implementation in the script, and a discussion of individual problems or questions.
-Format B: A postdoctoral researcher (or an advanced PhD student) provides an input on a generally relevant topic, followed by a discussion.
Date: Format: Who: What:
25.02.2026 B Stefan Lerch: MS TEAMS
04.03.2026 A
18.03.2026 A
25.03.2026 B Madelyn Thomson: Storytelling in Academia
31.03.2026 B Marialuisa Cavelti: Open Research Data
01.04.2026 A
08.04.2026 B Janko Käser: Preregistration in Practice
15.04.2026 A
22.04.2026 B Besim Prenaj & Annekatrin Steinhoff: ECG data acquisition and analysis
29.04.2026 A
06.05.2026 B Armita Tschitsaz: Implementation of complex research studies in routine clinical care
13.05.2026 A
20.05.2026 B Annekatrin Steinhoff: Longitudinal data modeling
27.05.2026 A
03.06.2026 B Silvano Sele: Analytical approaches combining baseline predictors with longitudinal data
10.06.2026 A
15.06.2026 B Christian Hertel: Introduction to ethics und Good Clinical Practice
24.06.2026 A
01.07.2026 B Matthias Liebrand: EEG as a research instrument
08.07.2026 A
15.07.2026 B Lea Burch/Silvano Sele: An introduction to machine learning
22.07.2026 A
29.07.2026 B Franziska Schlensog-Schuster: Measurement of parent-child interaction using the CIB
05.08.2026 A
12.08.2026 B Stefan Lerch Network analysis |
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ILIAS-Link (Learning resource for course)
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Link to another web site
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| Lecturers |
Prof. Dr.
Marialuisa Cavelti, Teaching Staff, Faculty of Human Sciences ✉
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Dr.
Stefan Lerch, University Hospital of Child and Adolescent Psychiatry and Psychotherapy ✉
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ECTS
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1 |
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Recognition as optional course possible
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Yes |
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Grading
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passed/failed |
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| Dates |
Wednesday 11:15-12:00 Weekly
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Wednesday 11:15-12:00 Weekly
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Tuesday 31/3/2026 11:15-12:00
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Wednesday 8/4/2026 11:15-12:00
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Monday 15/6/2026 11:15-12:00
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Rooms
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| Students please consult the detailed view for complete information on dates, rooms and planned podcasts. |
User:
Öffentlicher Bereich
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