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 2022: Rachel Heyard

We meet about every other week on Thursdays at 16:00, for more details and Zoom links see schedule below. All participants are welcome!

Are you interested in discussing a paper? Contact us at crs@ebpi.lists.uzh.ch

 

Slides: PDF of the talks are available here.

 

September 29 2022, Simon Schwab, Swisstransplant

Clinical prediction model for prognosis in kidney transplant recipients (KIDMO)

Join here

 

October 13 2022, Malgorzata Roos, CRS fellow

Translation of reproducible science following simple rules for reproducible computational research, a good Data Management Plan, and good research practice

Links:

Ten Simple Rules for Reproducible Computational Research

Ten Simple Rules for Creating a Good Data Management Plan

Ten simple rules for good research practice

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October 27 2022, Heidi Seibold, Open and Reproducible Data Science: Munich, DE

A computational reproducibility study of PLOS ONE articles featuring longitudinal data analyses

Room: KOL-F-117

 

November 10 2022, Samuel Pawel, CRS fellow

Pitfalls and Potentials in Simulation Studies

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November 24,  Marianna Rosso, CRS

Reliability of common mouse behavioural tests of anxiety: A systematic review and meta-analysis on the effects of anxiolytics

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December 8 2022, Carolin Strobl, CRS Steering Committee

Against the “one method fits all data sets” philosophy for comparison studies in methodological research

Room: KOL-H-317

 

December 22 2022 To be discussed

 

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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.

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February 24 2022 16:00-16:45, Benjamin Ineichen, CRS fellow

Investigating the replicability of preclinical cancer biology”

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March 10 2022 16:00-16:45, Hassan Fazilaty, CRS fellow

Experiments from unfinished Registered Reports in the Reproducibility Project

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April 7 2022 16:00-16:45, Jessie Baldwin, UCL

Protecting against researcher bias in secondary data analysis: challenges and potential solutions

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May 5 2022 16:00-16:45, Anne Jorstad, Head of Data Team, SNSF

Leveraging Doctoral Requirements to Promote Reproducibility

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May 19 2022 16:00-16:45, Leonhard Held, Eva Furrer and Rachel Heyard, CRS

Ten simple rules in good research practice for early career researchers

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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

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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

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October 28 2021, Prof. Chris Chambers, Cardiff University

The Seven Deadly Sins of Psychology

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November 11 2021 16:00-16:45h, Leonhard Held, CRS director

An open science pathway for drug marketing authorization—Registered drug approval

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November 25 2021, Rachel Heyard

What do we know about grant peer review in the health sciences?

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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
Register & join here.

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?
Register & join here.

May 20, 2021 16:00-16:45h, Lonni Besançon, Monash University, Melbourne, Australia
Open Science Saves Lives: Lessons from the COVID-19 Pandemic
Register & join here.

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
Register & join here.

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)

Date	Name	Title
19.09.2019	Leonhard Held	Royal Statistical Society discussion of “A new standard for the analysis and design of replication studies” Meeting, preprint
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. https://doi.org/10.7554/eLife.36163
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 Practices in Psychological Science 2018, Vol. 1(4) 443–490. 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. https://osf.io/vgfqy/
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. https://doi/10.1177/2515245917747646
05.12.2019	Filip Melinscak	Flexible Yet Fair: Blinding Analyses in Experimental Psychology. Gilles Dutilh, Alexandra Sarafoglou, and Eric-Jan Wagenmakers https://psyarxiv.com/d79r8/ https://link.springer.com/article/10.1007