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Constantinos Eleftheriou

@celefthe.bsky.social
13 followers 32 following 9 posts

Postdoctoral research fellow in Ian Duguid's lab at the SIDB, University of Edinburgh. I study visuomotor learning in Rett Syndrome 🏴󠁧󠁢󠁳󠁣󠁴󠁿🇨🇾 celefthe.com

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Constantinos Eleftheriou @celefthe.bsky.social · 03/02/2026
It's been a couple of years now since I finished my PhD at the @sidb-edinburgh.bsky.social ... and looking back at the experience, I think most of the things I learned had little to do with neuroscience. I list a few of them in my latest blog post at celefthe.com/blog/2026/a-...
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Constantinos Eleftheriou @celefthe.bsky.social · 30/06/2025
Finally, many thanks to Lauren Schenkman @thetransmitter.bsky.social for the interview and writeup; it was a blast :) doi.org/10.53053/ISK...
doi.org
Sounding the alarm on pseudoreplication: Q&A with Constantinos Eleftheriou and Peter Kind
Most studies of neurological disorders in mice erroneously treat multiple samples from a single animal as independent replicates, according to a new analysis. But scientists and journals can take…
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Constantinos Eleftheriou @celefthe.bsky.social · 30/06/2025
Pseudoreplication is not inevitable. Statistical tools such as linear mixed models allow us to take within- and between-animal variability into account. Hierarchical bootstraps are also another option (and a personal favourite!)
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Constantinos Eleftheriou @celefthe.bsky.social · 30/06/2025
We need to start treating our statistics with the same respect we treat our experimental techniques & design. Merely paying lip service to reporting guidelines is not enough, and journals/editors need to take responsibility for the statistical rigour of the work they publish.
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Constantinos Eleftheriou @celefthe.bsky.social · 30/06/2025
...especially when the effect sizes appear very small, or the degree of pseudoreplication is very high (e.g. very large number of pseudoreplicates per animal).
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Constantinos Eleftheriou @celefthe.bsky.social · 30/06/2025
Is it a problem? Well, yes if we care about reproducibility, since pseudoreplication increases the likelihood of false positive results! Of course, just because an article is pseudoreplicated it doesn't mean the results outright wrong - but caution is warranted...
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Constantinos Eleftheriou @celefthe.bsky.social · 30/06/2025
Stringent requirements and statistical reporting guidelines enforced by most journals since ~2012 have made no difference to the prevalence of pseudoreplication... but we did find that better reporting makes pseudoreplication easier to detect🤷
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Constantinos Eleftheriou @celefthe.bsky.social · 30/06/2025
We scored 645 articles published over the last 2 decades and found most were pseudoreplicated (~65% FXS and ~80% NDD articles), a trend which has persisted over the past 20 years.
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Constantinos Eleftheriou @celefthe.bsky.social · 30/06/2025
What is sample size in neuroscience? And what happens when we get it wrong? Our article in @MolecularAutism explores the prevalence of pseudoreplication, a form of statistical error which occurs when we get this wrong, in the FXS and NDD literature. edin.ac/3ZYkpdI 🧵
edin.ac
Better statistical reporting does not lead to statistical rigour: lessons from two decades of pseudoreplication in mouse-model studies of neurological disorders - Molecular Autism
Background Accurately determining the sample size (“N”) of a dataset is a key consideration for experimental design. Misidentification of sample size can lead to pseudoreplication, a process of artifi...
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