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Christopher R. Madan

Researcher at University of Nottingham

Publications -  190
Citations -  4272

Christopher R. Madan is an academic researcher from University of Nottingham. The author has contributed to research in topics: Medicine & Cognition. The author has an hindex of 31, co-authored 162 publications receiving 2990 citations. Previous affiliations of Christopher R. Madan include Boston College & University of Hamburg.

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Many analysts, one dataset: Making transparent how variations in analytical choices affect results

Raphael Silberzahn, +65 more
TL;DR: In this paper, 29 teams involving 61 analysts used the same data set to address the same research question: whether soccer referees are more likely to give red cards to dark-skin-toned players than to light-skinned-players.
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Justify your alpha

Daniel Lakens, +98 more
TL;DR: In response to recommendations to redefine statistical significance to P ≤ 0.005, it is proposed that researchers should transparently report and justify all choices they make when designing a study, including the alpha level.

The Journal of Open Source Software

TL;DR: The Journal of Open Source Software (JOSS) as mentioned in this paper is a free, open-access journal designed to publish brief papers about research software, with the primary purpose of enabling developers of research software to receive citation credit equivalent to typical archival publications.
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A multi-disciplinary perspective on emergent and future innovations in peer review

TL;DR: There is considerable scope for new peer review initiatives to be developed, each with their own potential issues and advantages, and a novel hybrid platform model is proposed that could resolve many of the socio-technical issues associated with peer review, and potentially disrupt the entire scholarly communication system.
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Cortical complexity as a measure of age-related brain atrophy

TL;DR: Fractal dimensionality was found to be more sensitive to age- related differences than either cortical thickness or gyrification index, and regional differences in age-related atrophy between the three measures were observed, suggesting that they may index distinct differences in cortical structure.