|Dorothee Bentz (firstname.lastname@example.org, BeurteilerIn)
|Traditional meta-analytical methods commonly used for synthesizing evidence from clinical trials are limited in comparing two interventions. However, for any given condition there is usually a plethora of alternative treatment options; this has motivated the development of network meta-analysis techniques, which extent usual pairwise meta-analysis for the case when more than two treatments are being compared in the available trials. Network meta-analysis has been the subject of a considerable amount of methodological research in recent years.
The course is designed for healthcare researchers who want to become familiar with the principles of network meta-analysis and their application. A hands-on practical tutorial will be performed in R. Some experience with systematic reviews and meta-analysis, basic knowledge of statistics and basic knowledge of R are required.
The workshop will be held by Prof. Dr. Georgia Salanti, Head of Research Group, Institute of Social and Preventive Medicine (ISPM), University of Bern. Prof. Dr. Georgia Salanti studied Mathematics in Greece, Epidemiology in Belgium and Sociology in the UK. She has a PhD in Statistics from the Ludwig-Maximillians University of Munich in Germany. She is associate professor in Biostatistics and Epidemiology at the University of Bern, Switzerland. She has been working in the field of evidence synthesis since 2003 and has contributed to the methodology of meta-analysis and systematic reviews.
|The workshop is offered by the doctoral program Health & Interventions (HI-PSY) and counts towards the research method curriculum area of the PhD program HI-PSY.
PhD students who are not part of the doctoral program HI-PSY please apply for admission to the workshop before course registration by sending an e-mail to the program director Prof. Dr. Jens Gaab (email@example.com).
Priority will be given to PhD students from the doctoral program HI-PSY.
Places will be given according to this selection criteria:
1) PhD students from the doctoral program HI-PSY
2) PhD students of other specializations of the Faculty of Psychology
3) PhD students of other faculties of the University of Basel
HI-PSY rules for withdrawal, absence, or partial course attendance:
If you cannot attend a workshop that you have signed up for, please cancel your course registration as soon as possible by sending an e-mail to firstname.lastname@example.org. This will allow other PhD students interested in the course to move up from the waiting list. After the university’s official registration period has ended, cancelled course will be assessed with NE. Course registrations can be cancelled until one week before the workshops begins. In the case of late cancellations, participants will not be considered for course registration in the next three months of the lecture periods and will be removed from the registration list of any course they have signed up during these three upcoming months of the lecture periods.
If an urgent, unforeseeable, or inevitable event before or during the course prevents a participant from attending, a written and substantiated withdrawal request that includes appropriate documentation (e.g. a doctor’s note) must be submitted to email@example.com within two days of the workshop and without being prompted. The program director decides on the approval of the withdrawal request.
ECTS-points are awarded only for 100% course attendance.
|PhD students who are not part of the doctoral program HI-PSY please apply for admission to the workshop before course registration by sending an e-mail to the program director Prof. Dr. Jens Gaab (firstname.lastname@example.org).
|Einsatz digitaler Medien
|kein spezifischer Einsatz
|Missionsstrasse 64a, Seminarraum 00.004
|Missionsstrasse 64a, Seminarraum 00.004
Doktorat Psychologie: Empfehlungen (Promotionsfach: Psychologie)
|Hinweise zur Leistungsüberprüfung
|Preparation and follow-up of the contents of the workshop as well as active participation.
|An-/Abmeldung zur Leistungsüberprüfung
|Anm.: Belegen Lehrveranstaltung; Abm.: stornieren
|Pass / Fail
|Fakultät für Psychologie, email@example.com
|Fakultät für Psychologie