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Is Most Published Research Really False?

delete2017-03-07
delete35
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OA
AI
J
Jeffrey T. Leek *
L
Leah R. Jager
DOI:10.1146/annurev-statistics-060116-054104delete
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摘要

摘要

En 中文
There has been an increasing concern in both the scientific and lay communities that most published medical findings are false. But what does it mean to be false? Here we describe the range of definitions of false discoveries in the scientific literature. We summarize the philosophical, statistical, and experimental evidence for each type of false discovery. We discuss common underpinning problems with the scientific and data analytic practices and point to tools and behaviors that can be implemented to reduce the problems with published scientific results.
Keyword:
science-wise false discovery rate
reproducibility
replicability
false discoveries
meta-analysis
reliability research
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期刊

Annual Review of Statistics and Its Application 封面图
Annual Review of Statistics and Its Application
IF:
8.7
论文数:
211
被引数:
2.4K

机构

J
Johns Hopkins University
学者数:
10.2W
论文数: 8.8W
被引数: 13.0W
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