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Biological vs technical replicates: Now from a data analysis perspective

We have discussed this topic several times before (HERE and HERE). There seems to be a growing understanding that, when reporting an experiment’s results, one should state clearly what experimental units (biological replicates) are included, and, when applicable, distinguish them from technical replicates. In discussing this topic with …

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MANILA – A web tool for designing reproducible and transparent preclinical intervention studies

Teemu D. Laajala1,21: University of Turku, Turku (Finland), Department of Mathematics and Statistics2: University of Colorado, Denver (CO, US), Anschutz Medical Campus, Department of Pharmacology MANILA (MAtched ANimaL Analysis) is a novel web-based tool that leverages predictive baseline variables and incorporates complex baseline characteristics for allocating treatment …

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Collection of resources for the use of R in study design and analysis

In the recent report on „Digital tools and services to support research replicability and verifiability”, Caroline Skirrow and Markus Munafó have argued that “publication of analysis scripts can help to improve transparency of data analytic methods, allowing greater replicability and verifiability of scientific results”. We strongly support the …

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