In 2005 a seminal article by John Ioannidis argued that various biases in how science is conducted, such as the use of small sample sizes and emphasising on novel, eye-catching findings, conspire to reduce the likelihood that a piece of published research is in fact correct. Since then, there has been growing interest in what has become known as the reproducibility crisis, stimulated in part by growing empirical evidence that many published research findings cannot be replicated. For example, in 2011 scientists from the pharmaceutical company Bayer reported that they were only able to replicate ~20-25% of results published in academic journals. Interest in the question of what proportion of published research findings are actually true, and whether we can do better, has grown – in 2015 the Academy of Medical Sciences in the UK held a symposium on the topic, while the House of Commons Science and Technology Committee is currently undertaking an inquiry on these issues. Continue reading
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