A discussion of how systematic bias, publication bias, random error (a.k.a. statistically predictable error), and conflicts of interest result in most published research being wrong. Recommendations of how to improve the problem are also discussed.
Ending Medical Reversal (https://www.amazon.com/Ending-Medical-Reversal-Improving-Outcomes/dp/1421417723)
Why Most Published Research Findings Are False (http://robotics.cs.tamu.edu/RSS2015NegativeResults/pmed.0020124.pdf)
Is Everything We Eat Associated With Cancer? (https://www.ncbi.nlm.nih.gov/pubmed/23193004)
Translation of highly promising basic science research into clinical applications (https://www.ncbi.nlm.nih.gov/pubmed/12731504)
Estimating the reproducibility of psychological science (https://www.ncbi.nlm.nih.gov/pubmed/26315443)
A Decade of Reversal: An Analysis of 146 Contradicted Medical Practices (https://www.ncbi.nlm.nih.gov/pubmed/23871230)
Selective Publication of Antidepressant Trials and Its Influence on Apparent Efficacy (https://www.ncbi.nlm.nih.gov/pubmed/18199864)
John Oliver / Last Week Tonight on Scientific Studies and p hacking (https://www.youtube.com/watch?v=0Rnq1NpHdmw)
Derek Muller/ Veritasium on whether most published research is wrong (https://www.youtube.com/watch?v=42QuXLucH3Q)
Seinfeld's Junior Mint episode (https://www.youtube.com/watch?v=M29A6rZpKqk)
Tagged under: publication bias,systematic bias,conflict interest,metaresearch,research,evidence based medicine,EBM,evidence based practice,EBP, hacking,data dredging
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