Judith ter Schure
- Full Name
- J.A. ter Schure
- Function(s)
- PhD student
- Judith.ter.Schure@cwi.nl
- Telephone
- +31 20 592 4086
- Room
- L133
- Department(s)
- Machine Learning
- Homepage
- https://significanthelp.nl/blog
Biography
Judith ter Schure's research interests lie in foundations of statistics as well as in applied work. She divides her time between her PhD research on ALL-IN meta-analysis at CWI, freelance statistical consultancy (significanthelp.nl) and board membership (treasurer) of the Netherlands Society for Statistics and Operations Research (vvsor.nl). Her general motivation is the effect of statistics on society, which also inspires occasional writing for a wide audience – previously published by De Correspondent – and participation in popular science events like Nacht van de Wetenschap, ScienceBattle and Pint of Science.Research
In my PhD research at CWI I develop statistical methods to summarize scientific studies that expand on one another, where dependencies arise between study series size, meta-analysis timing and individual study results. These methods should help scientists to prioritize research, interpret findings and design new studies – so efficiently accumulate scientific knowledge. Our ALL-IN meta-analysis approach is bottom-up, especially suited to combine studies that have no common (top-down) stopping rule.
"Scientists need to make sure that all relevant trials are in when they hedge their bets on future research."
My research is motivated by the 'replicability crisis' in empirical science and the Reducing Research Waste movement in biomedical research (http://rewardalliance.net/).
Publications
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Calonne, N, Richter, B, Löwe, H, Cetti, C, ter Schure, J.A, Van Herwijnen, A, … Schneebeli, M. (2020). The RHOSSA campaign: Multi-resolution monitoring of the seasonal evolution of the structure and mechanical stability of an alpine snowpack. The Cryosphere, 14(6), 1829–1848. doi:10.5194/tc-14-1829-2020
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ter Schure, J.A, & Grünwald, P.D. (2019). Accumulation Bias in meta-analysis: the need to consider time in error control [version 1; peer review: two approved]. F1000Research, 8. doi:10.12688/f1000research.19375.1
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ter Schure, J.A. (2019). Efficient accumulation of scientific knowledge, research waste and accumulation bias. ERCIM News, 116, 8–9.
Current projects with external funding
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Safe Bayesian Inference: A Theory of Misspecification based on Statistical Learning (SAFEBAYES)
Professional activities
- Consultant: Significant Help: Statistical Consultancy and Case-Based Training https://significanthelp.nl/
- Board Member: Treasurer of the Daily Board of the Society for Statistics and Operations Research (VVSOR: https://www.vvsor.nl/about-vvsor/bestuur-vvsor/)