| Dozent/in |
Dr. Maria Trottmann |
| Veranstaltungsart |
Vorlesung |
| Code |
FS261119 |
| Semester |
Frühjahrssemester 2026 |
| Durchführender Fachbereich |
Wirtschaftswissenschaften |
| Studienstufe |
Master |
| Termin/e |
Mo, 23.02.2026, 08:15 - 10:00 Uhr, HS 11
Mo, 02.03.2026, 08:15 - 10:00 Uhr, HS 11
Mo, 09.03.2026, 08:15 - 10:00 Uhr, HS 11
Mo, 16.03.2026, 08:15 - 10:00 Uhr, HS 11
Mo, 23.03.2026, 08:15 - 10:00 Uhr, HS 11
Mo, 30.03.2026, 08:15 - 10:00 Uhr, HS 11
Mo, 13.04.2026, 08:15 - 10:00 Uhr, HS 11
Mo, 20.04.2026, 08:15 - 10:00 Uhr, HS 11
Mo, 27.04.2026, 08:15 - 10:00 Uhr, HS 11
Mo, 04.05.2026, 08:15 - 10:00 Uhr, HS 11
Mo, 11.05.2026, 08:15 - 10:00 Uhr, HS 11
Mo, 18.05.2026, 08:15 - 10:00 Uhr, HS 11 |
| Umfang |
2 Semesterwochenstunden |
| Turnus |
Weekly |
| Inhalt |
Health Services Research systematically evaluates the effectiveness of health interventions within real-world contexts. In contrast to clinical research, which concentrates on the development and assessment of medical treatments, health services research aims to identify optimal strategies for the organization, management, financing, and ongoing enhancement of care and assistance for patients and the broader population. This inherently interdisciplinary field integrates methodologies and perspectives from health economics, psychology, sociology, epidemiology, medicine, and management.
Throughout the course, we follow the advice of Prof. Dawn-Marie Walker who said “The best way to learn about research is to actually do it”. Students, either individually or in small groups of 2-3, will undertake their statistical analyses employing real-world data provided by a Swiss insurer. Important steps include getting a comprehensive understanding of the data and checking its plausibility in a real world context. Subsequent tasks include the formulation of a research question and the development of a statistical analysis plan. Descriptive and graphical analysis of the data pave the way for hypothesis testing and the subsequent interpretation of findings.
Each of these steps will be explained and accompanied by illustrative code in the statistical software R. Prior experience with R or similar statistical software is advantageous, but not a mandatory prerequisite. |
| Lernziele |
Goals and principal methods in health services research.
Practical experience conducting a statistical research project using real world data. |
| Voraussetzungen |
• Introductory course in statistical methods
• Experience working with a statistical software such as R or Stata would be a plus
|
| Sprache |
Englisch |
| Begrenzung |
Max. 16 participants
If the maximum number of participants is reached, students of the MA in Economics and Management will be given priority. In this case, please contact the wf@unilu.ch |
| Anmeldung |
Binding registration takes place via the UniPortal; see notes below in the «Proof of Performance» field.
For course information and materials, registration on the OLAT e-learning platform is required from 2 – 15 February 2026. The students themselves are responsible for verifying the course’s creditability towards their degree program.
Direct link to the OLAT course: to follow |
| Leistungsnachweis |
The written paper will be separated into four homework assignments:
Deadline for 1. homework assignment: Sat 21.03.2026
Deadline for 2. homework assignment: Thurs, 02.04.2026
Deadline for 3. homework assignment: Sat, 18.04.2026
Deadline for 4. homework assignment: Sat, 25.04.2026
Dates for oral presentation: Mo, 04.05.2026 / 11.05.2026 / 18.05.2026
Students may work in groups of up to three people for the homework assignments. The four homework assignments account for 60% of the final mark (15% each). At the end of the semester, students will individually do a short oral presentation of the project, followed by a discussion with the teacher.
***IMPORTANT*** In order to acquire credits, and/or take the examination, registration via the Uni Portal between 2 - 15 February 2026 is MANDATORY. Further information on registration: www.unilu.ch/wf/pruefungen |
| Abschlussform / Credits |
Presentation and discussion (40%), written paper separated into four home work assignments (15% each) / 3 Credits
|
| Hinweise |
A student project using real-world data is a significant part of this lecture.
The course will be available both in person and on zoom. |
| Hörer-/innen |
Ja |
| Kontakt |
maria.trottmann@swica.ch |
| Anzahl Anmeldungen |
0 von maximal 16 |
| Literatur |
Weber, Jeremy G. 2024. “Statistics for Public Policy: A Practical Guide to Being Mostly Right (or at Least Respectably Wrong).” Chicago?; London: The University of Chicago Press. ISBN: 9780226830759
Walker, Dawn-Marie (ed). 2014. “An Introduction to health services research”. Los Angeles: SAGE Publications. ISBN 978-1-4462-4739-6
Pflichtlektüre:
Kennedy, Peter E. “Sinning in the Basement: What Are the Rules? The Ten Commandments of Applied Econometrics“. Journal of Economic Surveys 16, Nr. 4 (September 2002): 569–89. https://doi.org/10.1111/1467-6419.00179
Hill, A. B. 1965. “The Environment and the Disease: Association or Causation?” Proceedings of the Royal Society of Medicine 58 (5): 295–300. |