Find our publications on the Zurich Open Repository and Archive (ZORA).
CRS develops novel methodology related to reproducibility and replicability, and contributes to the improvement the quality of scientific investigation using meta-science.
See below for a summary of our research projects.
Design and Analysis of Replication Studies
- Leonhard Held, Francesca Freuli, Rachel Heyard, Charlotte Micheloud, Samuel Pawel
- SNF Project: Reverse-Bayes Design and Analysis of Replication Studies
- Paper on MetaArXiv: Replication success under questionable research practices–a simulation study (August 2022)
- Paper on Statistical Science: Power Calculations for Replication Studies (August 2022)
- Papers on arXiv:
Power Priors for Replication Studies (July 2022)
A Statistical Framework for Replicability (July 2022)
The sceptical Bayes factor for the assessment of replication success (September 2020)
- Paper in The Annals of Applied Statistics: The assessment of replication success based on relative effect size (June 2022)
- Paper on Significance: Replication power and regression to the mean (December 2020)
- Paper on PLOS One: Probabilistic forecasting of replication studies (April 2020)
- Royal Statistical Society Reads:
- Key note talk at the RSS meeting in September 2019
Rethinking the research funding allocation process
- Rachel Heyard
This meta-science project intends to improve the process employed at funding agencies to allocate research funding to the most deserving researchers, by making it less biassed, more transparent and more reliable. A first output of the work (produced while R. Heyard was employed at the SNSF) is the Bayesian Ranking methodology presented in the paper “Rethinking the Funding Line at the Swiss National Science Foundation: Bayesian Ranking and Lottery”.
How successful is bench-to-bedside translation in animal research – a systematic review
- Benjamin Ineichen, Eva Furrer, Servan Grüninger, Malcolm MacLeod
Bench-to-bedside translation, e.g. eventual market approval of a therapy tested in animals, is considered to be very low in animal research (Bespalov et al., 2016). However, although bench-to-bedside translation has been assessed in certain biomedicine fields, no comprehensive analysis has investigated the extent of successful translation within different biomedicine subfields. In addition, these rates have not been systematically compared with translational rates in animal free research fields. Thus, we aim at systematically evaluating bench-to-bedside translation in biomedicine based on animal meta studies and compare the extent of bench-to-bedside translation to preclinical research fields without the use of animal experiments.
Preregistration on Prospero (available in June 2022)
Assessing treatment effects and publication bias across different specialties in medicine: a large empirical study of the Cochrane Database of Systematic Reviews
Investigating the appropriate use of ANCOVA in medicine, neuroscience and psychology
- Simon Schwab, Audrey Yeo
This project seeks to assess the use of analysis of covariance (ANCOVA) in various scientific fields. The work considers publications from the fields neuroscience, medicine, and psychology, as well as certain interdisciplinary subjects. Reanalysis of the original work was done to determine whether ANCOVA has been utilised appropriately. See the OSF repository of the project.
Biostatisticians’ Impact on Quality in Medical Research (BIQMR)
- Eva Furrer, Michael Hediger, Ulrike Held, Klaus Steigmiller
- Presentation of the protocol at the Conference of the Austro-Swiss Region of the International Biometric Society in September 2019: A meta-research study on quality and impact of biostatisticians in health research
- Registered report at Plos One: Is reporting quality in medical publications associated with biostatisticians as co-authors? A registered report protocol
- Results of the registered report at Plos One: The incremental value of the contribution of a biostatistician to the reporting quality in health research—A retrospective, single center, observational cohort study
- Forresd - Foster Open and Reproducible Reanalysis of Scientific Data
Simon Schwab, Eva Furrer, Leonhard Held
We gratefully receive funding by the StwF for this project (STWF-19-007).
Forresd is a Linux analysis server for the CRS staff, CRS members and CRS fellows.
The address is
crs.ebpi.uzh.chand can be accessed via
Access from home is possible using VPN.
More information and request account here (PDF, 449 KB).