Results 31 to 40 of about 21,046,542 (243)
Accuracy evaluation of the unified P-value from combining correlated P-values. [PDF]
Meta-analysis methods that combine P-values into a single unified P-value are frequently employed to improve confidence in hypothesis testing. An assumption made by most meta-analysis methods is that the P-values to be combined are independent, which may
Gelio Alves, Yi-Kuo Yu
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P-value: What is and what is not [PDF]
The misinterpretation and misuse of p-value have been increasing for decades. In March 2016, the American Statistical Association released a statement to warn about the use and interpretation of p-value. In this study, we provided a definition and discussion of pvalue and emphasized the importance of its accurate interpretation.
Tanha, K, Mohammadi, N, Janani, L
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Multiple testing procedures under positive dependency with block structure
The classical Benjamini–Hochberg (B-H) method, widely used across various disciplines such as genetics, epidemiology, and social sciences, serves as an established procedure for controlling the false discovery rate (FDR) in multiple comparison scenarios.
Nikolay I. Nikolov +5 more
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IPBES Assessment of the diverse values and valuation of nature - Figures presented in Chapter 5
These figures are an integral part of Chapter 5 of the Methodological assessment of the diverse values and valuation of nature of the Intergovernmental Science-Policy Platform on Biodiversity and Ecosystem Services.
IPBES
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Combination of “combinations of p values” [PDF]
We investigate the impact of an uncertain number of false individual null hypotheses on commonly used p value combination methods. Under such uncertainty, these methods perform quite differently and often yield conflicting results. Consequently, we develop a combination of “combinations of p values” (CCP) test aimed at maintaining good power properties
Xuguang Sheng, Lan Cheng
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Optimal Tests for Combining p-Values
Combining information (p-values) obtained from individual studies to test whether there is an overall effect is an important task in statistical data analysis.
Zhongxue Chen
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AbstractRecently, a controversy has erupted regarding the use of statistical significance tests and the associated P values. Prominent academic statisticians have recommended that the use of statistical tests be discouraged or not used at all. This has naturally led to a lot of confusion among research investigators about the support in the academic ...
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SummaryThis paper generalizes the notion of p‐value to obtain a system for assessing evidence in favor of an hypothesis. It is not quite a quantification in that evidence is a pair of numbers (the p‐value and the p‐value with null and alternative interchanged) with evidence for the alternative being claimed when the first number is small and the second
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