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How Scientists Manipulate Research With P-Value

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 Statistics & Probability   |   Math   |   Science
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Numbers don’t lie, right? Or are scientists intentionally using statistics to mislead us?

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Read More:
The ASA's statement on p-values: context, process,and purpose
http://amstat.tandfonline.com/doi/abs/10.1080/00031305.2016.1154108#aHR0cDovL2Ftc3RhdC50YW5kZm9ubGluZS5jb20vZG9pL3BkZi8xMC4xMDgwLzAwMDMxMzA1LjIwMTYuMTE1NDEwOEBAQDA=
“Underpinning many published scientific conclusions is the concept of ‘statistical significance,’ typically assessed with an index called the p-value. While the p-value can be a useful statistical measure, it is commonly misused and misinterpreted.”

Evolution of Reporting P Values in the Biomedical Literature, 1990-2015
http://jama.jamanetwork.com/article.aspx?articleid=2503172
“In this analysis of P values reported in MEDLINE abstracts and in PMC articles from 1990-2015...almost all abstracts and articles with P values reported statistically significant results, and, in a subgroup analysis, few articles included confidence intervals, Bayes factors, or effect sizes. Rather than reporting isolated P values, articles should include effect sizes and uncertainty metrics.”
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