Tag Archives: bias

Cultural factors contribute to poor reproducibility in the biomedical sciences

In two previous post (1, 2), I highlighted a symposium that was held to improve the reproducibility of biomedical research. The published report includes a discussion on cultural factors that have contributed to the high prevalence of irreproducible research. Culture and nature of science Whether or not the questionable research practices described in the previous post are the result of

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The difference between allocation concealment and blinding in randomised controlled trials

Allocation concealment and blinding are characteristics that prevent bias in randomised controlled trials and experimental studies. However, these concepts are often confused. Using a randomised controlled trial as an example, the statistician Philip Sedgwick explains the differences between allocation concealment and blinding, and why these characteristics are important: Researchers investigated whether a nutritious meal and food packages was more effective

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How false findings become canonized as scientific fact when publication bias is unknown

Scientific inquiry is the process by which new information is generated through experimental, theoretical or observational methods in order to understand the world. As inquiry progresses, some claims eventually achieve enough acceptance by the scientific community and become regarded as “fact”. The more established a fact is, the less likely it is subjected to further verification. However, poor reproducibility of

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Within-group analyses cannot be used to make between-group comparisons

Many research questions investigate how outcomes change (over time) in response to different test conditions or treatments. Participants are randomised into groups to receive a test condition or treatment to make the groups comparable in every way except the test condition or treatment that is received. Consequently, comparing outcomes between groups allows us to understand how outcomes change under different

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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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