Master Program in Biostatistics

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Statistical Practice in Clinical Research

Compulsory Module

Last Monday, the final presentations of our module STA490 Statistical Practice in Clinical Research took place. In these sessions, students presented the results of their intensive work over the past semester to the members of the Department of Biostatistics, to the clinical researchers, and their fellow students. The projects reflected a wide range of real-world clinical research questions, analyzed using modern statistical methods. This years' projects were:

  • Epidemiologic trends in aneurysmal subarachnoid hemorrhage events, case fatality, and mortality in Switzerland between 2000 and 2023
  • The path to surgical safety in bariatric surgery – trends in inpatient morbidity and mortality over the last 15 years in Switzerland
  • GLUGLIO - statistical analysis plan for a randomized controlled trial
  • Effects of beginning a GLP1-Agonist therapy on residual gastric content and gastric emptying: A prospective ultrasound approach with focus on perioperative aspiration risk
  • Mild traumatic brain injury and neurodegenerative disorders: a systematic review and meta-analysis
  • Associations between Lumbar Spine MRI Findings and Baseline Pain and Function in Patients with Lumbosacral Radicular Pain: A Cross-Sectional Prediction Study
STA490 Statistical Practice in Clinical Research is a compulsory module of the Master’s program in Biostatistics at the University of Zurich and bridges the gap between methodological training and practical medical and clinical problems. Students work closely with clinical and methodological researchers to develop meaningful analyses and interpret results in a medical context. Thus, this module not only fosters analytical skills, but also interdisciplinary teamwork, reproducibility, as well as presentation and communication skills in clinical research.

We would like to thank all the supervisors and clinical researchers for their guidance and support throughout the semester, without whom this module would not be possible.

If you have a project idea or are interested in participating as a supervisor, please contact Ulrike Held (ulrike.held@uzh.ch), who is responsible for the module.