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Weighted multiple testing correction for correlated tests
Statistics in Medicine, 2011Virtually all clinical trials collect multiple endpoints that are usually correlated. Many methods have been proposed to control the family‐wise type I error rate (FWER), but these methods often disregard the correlation among the endpoints, such as the commonly used Bonferroni correction, Holm procedure, Wiens' Bonferroni fixed‐sequence (BFS ...
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On the Robustness of Bandit Multiple Testing
Proceedings of the AAAI Conference on Artificial IntelligenceBandit multiple hypothesis testing has broad applications in biological sciences, clinical testing for drug discovery, and online A/B/n testing. The framework utilizes an adaptive sampling strategy for multiple testing which aims to maximize statistical power while ensuring anytime false discovery rate control. This paper proposes a robust approach for
Zhengyu Zhou, Weiwei Liu 0003
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Testing is Confidence Estimation: Partition Multiple Testing
Journal of Statistical Theory and Practice, 2010zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Multiple fuzzy hypotheses testing
1995 International Conference on Acoustics, Speech, and Signal Processing, 2002In many parameteric statistical decision problems, one has to make a decision in the presence of some uncertainties about the parameters in the statistical model of the observed random variables. Examples include estimation of signal parameters in additive noise of unknown power and detection of a signal of unknown amplitude.
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Understanding biology to tackle the disease: Multiple myeloma from bench to bedside, and back
Ca-A Cancer Journal for Clinicians, 2014Giada Bianchi
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Multiple Lymphomatous Polyposis of the Gastrointestinal Tract
Ca-A Cancer Journal for Clinicians, 1981Donald C Doll
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