Monthly Archives: February 2016

Blind data analysis can contribute to reproducible research

Blind analysis does not refer to closing your eyes, crossing your fingers and hitting GO! on your statistical analysis! In a previous post, I highlighted an article published in Nature on cognitive biases and their impact on reproducible science. Various debiasing techniques have been proposed to tackle this issue, including blind data analysis. This technique was new to me, so

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