ReproducibiliTea Journal Club
The ReproducibiliTea is a journal club dedicated to topics related to reproducibility, statistics in data analysis, open science, research quality and good research practices (across fields, biomedicine, social sciences, computer science. etc). These journal clubs happen simultaneously around the world, see further information here.
Organizer Fall 2021: Martyna Plomecka
Fall semester 2021
We meet about every other week on Thursdays at 16:00, for more details and Zoom links see schedule below.
Brew your own tea before you join. All participants are welcome!
Are you interested in discussing a paper? Contact us at crs@ebpi.lists.uzh.ch
Speaker information: The talk should approximately be 25 min. followed by a 20 min. discussion. Please join the meeting 10 min. before for an audio/video check.
Slides: PDF of the talks are available here.
Schedule:
September 30th 2021 16:00-16:45h, Rotem Botvinik-Nezer, Cognitive and Affective Neuroscience Lab, Dartmouth College, USA
Variability in analyzing a single neuroimaging dataset by many teams
See also the Neuroimaging Analysis Replication and Prediction Study: https://www.narps.info
Join here
October 14 2021 16:00-16:45h, Francesca Freuli, visiting PhD student at CRS
An Excess of Positive Results: Comparing the Standard Psychology Literature With Registered Reports
Join here
October 28 2021, Prof. Chris Chambers, Cardiff University Brain Research
The Seven Deadly Sins of Psychology
Join here
November 11 2021 16:00-16:45h, Leonhard Held, CRS director
An open science pathway for drug marketing authorization—Registered drug approval
Join here
November 25 2021, Rachel Heyard
tbd
Join here
Spring semester 2021
February 25, 2021 16:00-16:45h, Maria Dunbar, Dept. of Biostatistics, EBPI, University of Zurich
Problems with Evidence Assessment in COVID-19 Health Policy Impact Evaluation (PEACHPIE): A systematic strength of methods review
Register & join here.
March 11, 2021 16:00-16:45h, Christian Decker, Dept. of Economics, University of Zurich
P-hacking in clinical trials and how incentives shape the distribution of results across phases
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March 25, 202116:00-16:45h, Laura Kinkead, Dept. of Quantitative Biomedicine (Krauthammer Lab), University of Zurich
Tools and techniques for computational reproducibility
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April 22, 2021 16:00-16:45h, Hassan Fazilaty, Inst. of Molecular Life Sciences, University of Zurich
Zebrafish prrx1a mutants have normal hearts (Matters arising for original article)
Register & join here.
May 6, 2021 16:00-16:45h, Perrine Janiaud, University Hospital of Basel
Lessons Learned from COVID-19 Trials – Should We Be Doing Clinical Trials Differently?
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May 20, 2021 16:00-16:45h, Lonni Besançon, Monash University, Melbourne, Australia
Open Science Saves Lives: Lessons from the COVID-19 Pandemic
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Fall semester 2020
September 17, 2020 16:00-17:00h, Dr. Bernhard Voelkl, University of Bern
Reproducibility of animal research in light of biological variation
October 1, 2020 16:00-17:00h, Niels Mede, University of Zurich
The “replication crisis” in the public eye: Germans’ awareness and perceptions of the (ir)reproducibility of scientific research
October 15, 2020 16:00-17:00h, Prof. Dr. Christoph Flückiger, University of Zurich
Reproducibility in psychological interventions between humans: Is the working alliance an epiphenomenon?
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October 29, 2020 16:00-17:00h, Prof. Dr. Mark Robinson, University of Zurich
"Rethinking Reproducibility as a Criterion for Research Quality"
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November 12, 2020 16:00-17:00h, Charlotte Micheloud, University of Zurich
High Replicability of Newly-Discovered Social-behavioral Findings is Achievable
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November 26, 2020 16:00-17:00h, Dr. Romain-Daniel Gosselin, CHUV Lausanne
Statistical Analysis Must Improve to Address the Reproducibility Crisis: The ACcess to Transparent Statistics (ACTS) Call to Action
Register & join here.
December 10, 2020 16:00-17:00h, Dr. Simon Schwab, University of Zurich
Challenges and future directions for representations of functional brain organization
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Spring semester 2020
June 4, 2020 16:00 - 17:00, Simon Schwab,
Variability in the analysis of a single neuroimaging dataset by many teams by Botvinik-Nezer et al. (2020)
May 14, 2020 16:00 - 17:00, Servan Grüninger,
What is replication? by Nosek & Errington (2020)
April 30, 2020 16:00 - 17:00, Bettina Baessler,
Robustness and Reproducibility of Radiomics in Magnetic Resonance Imaging: A Phantom Study by Baessler et al. (2019)
April 2, 2020 16:00 - 17:00, Samuel Pawel,
A Reproducible Data Analysis Workflow with R Markdown, Git, Make, and Docker by Peikert & Brandmaier (2019)
March 26, 2020 16:00 - 17:00, Dr. Filip Melinscak,
Automating Sciences: Philosophical and Social Dimensions by King et al. (2018)
Fall semester 2019
| Date | Name | Title |
|---|---|---|
|
19.09.2019 |
Leonhard Held |
Royal Statistical Society discussion of “A new standard for the analysis and design of replication studies” |
|
10.10.2019 |
Samuel Pawel | Predictive evaluation of replication studies Master thesis |
|
24.10.2019 |
Simon Schwab |
Why we need to report more than “Data were analyzed by t-tests or ANOVA”. Weissgerber et al. eLife, 2018. |
| 14.11.2019
|
Eva Furrer |
Changed: Many Labs 2: Investigating Variation in Replicability Across Samples and Settings. Klein, Vianello et al., Advances in Methods and https://journals.sagepub.com/doi/10.1177/2515245918810225 and if time allows Predicting replication outcomes in the Many Labs 2 study. Forsell, Viganola et al. |
| 28.11.2019
|
Mark Robinson |
Many Analysts, One Data Set: Making Transparent How Variations in Analytic Choices Affect Results. R. Silberzahn, E. L. Uhlmann, D. P. Martin et al., Advances in Methods and Practices in Psychological Science, 1(3), 337–356. |
| 05.12.2019 |
Filip Melinscak |
Flexible Yet Fair: Blinding Analyses in Experimental Psychology.
Gilles Dutilh, Alexandra Sarafoglou, and Eric-Jan Wagenmakers
|
