Results 31 to 40 of about 32,868,481 (282)
P-values – a chronic conundrum
BMC Medical Research Methodology, 2020 Background In medical research and practice, the p-value is arguably the most often used statistic and yet it is widely misconstrued as the probability of the type I error, which comes with serious consequences.
Jian Gao
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Combination of “combinations of p values” [PDF]
Empirical Economics, 2017 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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Are P values given more importance than they deserve?
Endodontology, 2023 In many of the scientific reports, the conclusions are based on the P values. The results are dichotomized based on the cutoff of P values. Often, the clinical significance is ignored over statistical significance.
Vivek Aggarwal, Mamta Singla
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P-value: What is and what is not [PDF]
Medical Journal of the Islamic Republic of Iran, 2017 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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Variable Selection with Second-Generation P-Values
, 2021 Many statistical methods have been proposed for variable selection in the past century, but few balance inference and prediction tasks well. Here we report on a novel variable selection approach called Penalized regression with Second-Generation P-Values
Yi Zuo (1556965) +2 more
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Multiple testing procedures under positive dependency with block structure
Frontiers in Applied Mathematics and StatisticsThe 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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Accuracy evaluation of the unified P-value from combining correlated P-values. [PDF]
PLoS ONE, 2014 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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Optimal Tests for Combining p-Values
Applied Sciences, 2021 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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