Resources

 

We have an amazing team who curated many resources for the community.

Awesome Reproducible Research

A curated list of reproducible research case studies, projects, tutorials, and media

Bacillus Calmette-Guérin vaccine to reduce COVID-19 infections and hospitalisations in healthcare workers – a living systematic review and prospective ALL-IN meta-analysis of individual participant data from randomised controlled trials

The ALL-IN-META-BCG-CORONA project is a prospective, living meta-analysis of clinical trials examining whether the BCG vaccine offers protection against COVID-19. It introduced a bottom-up approach to meta-analysis, emphasizing equal collaboration …

Bad Science blog on the Guardian webpages

Articles about Bad Science

Bad Science log, post-Guardian

Blogs about bad science

Badges for sharing data and code at Biostatistics: an observational study

Background: The reproducibility policy at the journal Biostatistics rewards articles with badges for data and code sharing. This study investigates the effect of badges at increasing reproducible research. Methods: The setting of this observational …

Badges to Acknowledge Open Practices: A Simple, Low-Cost, Effective Method for Increasing Transparency

Beginning January 2014, Psychological Science gave authors the opportunity to signal open data and materials if they qualified for badges that accompanied published articles. Before badges, less than 3% of Psychological Science articles reported open …

Barcelona Declaration on Open Research Information

The research information landscape requires fundamental change. The signatories of the Barcelona Declaration on Open Research Information commit to taking a lead in transforming the way research information is used and produced. Openness of …

Bargain Basement Bayes

A blog about bayesian Statistics

Bayes Factor

Bayes factors are somewhat essential to Bayesian statistics. Tony O’Hagan explains their basics

Bayes for Beginners: Probability and Likelihood

A blog about Bayes for Beginners: Probability and Likelihood
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