Grants to foster open-access statistical tools
As of 2018, members of the CTU Network can compete annually for a grant to develop statistical codes or programs. Applicants must demonstrate that their codes are geared at improving clinical research and bringing fresh solutions to persisting difficulties.
Each will be awarded CHF 12,000 to develop, test, refine, and share their code and each winner is obliged to collaborate with another CTU to crosscheck and user-test their code. These tools are then ideally published in open-access development repositories, such as The Comprehensive R Archive Network CRAN and Github.
Announcing the 2019 winners
In September 2019, two projects from four applicants were selected by the members of the Statistics and Methodology Platform as 2019 award-winners:
- Dr Lukas Bütikofer & Dr Alan Haynes, CTU Bern, for "Summary tables in R”
- Dr Thomas Zumbrunn, CTU Basel, for “Export tables and metadata to achieve the intended layout in any output format, R"
Their products should be available for the global community of statisticians, early 2021. Congratulations to the winners! You’ll find their products announced here.
2018 winners’ outputs published
As of October 2019, the two 2018 co-winners published the fruits of their labour, so statisticians worldwide can draw upon them:
- Dr Andreas Limacher and Dr Armando Lenz, CTU Bern, developed Precision-based sample size calculation, available on Github.
- Dr Thomas Fabbro, CTU Basel, developed a tool to represent visually assumptions about underlying sample size calculation, available on CRAN. A report about the project has been published in German in the November 2019 issue of DKForum, by the University Hospital of Basel.