Research Methods Consulting - Working Group Clinical Biostatistics

We are a team of researchers at the Dept. of Biostatistics at UZH with backgrounds in statistics, biology, mathematics and psychology and all with profound expertise in clinical research. We support researchers from UZH Faculty of Medicine during all phases of the research cycle, from study design to data analysis, result interpretation and publication. We recommend that you contact us during the study design phase. We aim to maintain the highest standards regarding methodology, reproducibility, and medical research quality generally.

 

wordcloud biostatistics

We have expertise in

  • Study design, sample size calculation, advanced trial design like adaptive design (Study Design Board)
  • Statistical analysis plans
  • Advanced methods for statistical data analysis and graphics (including methods to avoid bias, regression, matching, trees, interpretation of results)
  • Metaanalysis (including advice for systematic literature searches, meta-analysis of diagnostic studies, meta-analysis of observational data, meta-regression, network meta-analysis)
  • Publication of high quality medical research papers following the EQUATOR guidelines

 

Please read this page carefully and check out how we can support you.

Registration

For Clinical Researchers at USZ / UZH

Please contact us early in your planned research project, ideally before submitting your protocol for ethics approval and data collection. We will discuss study design issues, required number of patients as well as suitable analysis strategies with you.

We offer joint meetings with representatives of the Clinical Trials Center to discuss different aspects of your planned research project simultaneously. For projects resulting in contractual collaboration, we prepare a cost estimate. We charge 120 CHF per hour for meetings and contractual collaborations. You will receive a reproducible report using the statistical programming language R and dynamic reporting, including all relevant aspects of our work.

For Students of the Medical Faculty at UZH

If you are writing your Master thesis or if you are working on a medical dissertation project, we offer one hour of statistical advice. This hour is free of charge. For these projects, we cannot offer contractual collaboration.

If you are interested in learning more about statistical analysis of medical data or related topics using the programming language R, please check out our new R courses. You may also be interested in coming to our R Code Clinic, Thursdays, 16.15-17.15 at HRS F28. Please send us an email in advance.

Statistical Programming

We use the statistical programming language R for all analyses. R is a free, open-source software, that produces high-quality, reproducible reports when used in conjunction with dynamic reporting tools such as Markdown, knitr, or Sweave. If you conducted your analyses with any other statistical software, we will discuss the findings with you, but we cannot take the responsibility for correctness.

Grant Applications

If you are planning to apply for a grant, please contact us early. We act as project partners and take responsibility for suitable study design and power analysis. If the grant is awarded, we will write up statistical analysis plans, and carry out data analysis including interpretation of the findings and figures during the publication process. If you are interested, we offer meetings together with representatives of the Clinical Trials Center at USZ.

Authorship

We follow the International Committee of Medical Journal Editors (ICMJE) guidelines for authorship in medical publications. In projects with contractual collaboration, preparations for publication including revisions of the manuscript will not be charged.

External Researchers

If you are a researcher outside of UZH Faculty of Medicine, please contact  Eveline Bielser (administration) before registration.

Other options to collaborate with us

Funding of a part-time position of a biostatistician to work in your clinic

Design of experiments, analysis and interpretation of clinical data is complex, and standards are high in medical research. Graduates of our master program Biostatistics have a sound methodological background and strong interest in biomedical applications. A long-term collaboration of a biostatistician with your group of clinical scientists improves research output and quality.

Please contact us, if you are interested in hiring a part-time biostatistician.

 

Statistical co-supervision of master theses / medical dissertation projects at UZH MeF

Some master theses or medical dissertation projects require more intense statistical support. These projects can be co-supervised by members of our team using the programming language R. Participation in an R course beforehand is a prerequisite. We will offer this to students and their supervisors.

Masterarbeitsvereinbarung (PDF, 17 KB)

Dissertationsvereinbarung (PDF, 17 KB)

 

Data analysis by students of our master program Biostatistics

Students of the master program Biostatistics need to get experience in real-world data analysis and statistical consulting. In the Statistical Consulting Module (STA490) of our master program Biostatistics, each student is working on a clinical research project under the supervision of an experienced staff member of Dept. of Biostatistics or Dept. of Epidemiology. Detailed information can be found here (PDF, 123 KB). If you have an interesting research question formulated and a data set prepared, this could be an option for you.

 

Scientific cooperation

Some medical research questions may also be relevant to methodological research and may be suitable for scientific cooperation. The main goal of such a cooperation is to make scientific advances in both the methodological and medical fields, resulting in publications in both biostatistics/methodological and medical journals. In these projects, our team members would be first or last author. Pre-requisites for such scientific cooperation include joint grant applications, previous published papers as co-authors, or corresponding research activities or interests.