By: Björn

Improving quality of preclinical academic research through auditing: A feasibility study
March 31, 2020

Commentary provided by Claudia Kurreck (Department of Experimental Neurology, Charité -Universitätsmedizin Berlin, Germany) The performance of audits and assessments is always a…

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Coronavirus: The need for solid, robust data
March 31, 2020

Like everyone else we are with a great concern given the current coronavirus situation and the beginning of a global experiment:…

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Newsletter March 2020
March 31, 2020

Coronavirus: The need for solid, robust data – Read more Featured Publication: Improving quality of preclinical academic research through auditing: A feasibility study…

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Biological vs technical replicates: Now from a data analysis perspective: R script
March 31, 2020

This is the R Script referenced in the blog post LINK ## “Effortlessly Read Any Rectangular Data”library(readit)         …

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Fun Section January 2020
February 1, 2020

A funny way to show the importance of describing your study/experiment in most detail and to be transparent and precise so…

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From fecal transplants, obesity and the importance of randomizatIon and normalization
February 1, 2020

In one of the last Newsletter issues (LINK), we wrote about the uncertainties which sometimes exist when trying to find the…

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Of lab notebooks and leaders in science
February 1, 2020

Good research practices are often said to work against the current success model in science (based on positive results, number and…

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Is N-Hacking ever OK?
February 1, 2020

It has been proposed repeatedly that adding samples based on results of initial experiments is a form of p-hacking (see e.g. new…

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Additional READS in January 2020
February 1, 2020

Measuring Transparency and Reproducibility of Biomedical Articles Causal claims about correlations reduced in press releases following academic study of health news…

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Is N-Hacking Ever OK? A simulation-based study
February 1, 2020

After an experiment has been completed and analyzed, a trend may be observed that is “not quite significant”. Sometimes in this…

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