Multiple Hypothesis Testing

By J. Shaffer. 1995

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Citations in the corpus

A survey of data fusion in smart city applications (2019, methodology): “Common techniques for data association include Nearest Neighbors [59], Probabilistic Data Association [60], and Multiple Hypothesis Test [61].”
Studying for the sake of others: the role of social goals on academic engagement (2012, background): “05, there is a need to divide this by the number of tests run (α= α/k) (Shaffer, 1995).”
Maternal speech to infants at 1 and 3 months of age (2005, methodology): “To correct for multiple testing, we adjusted thep-values forR of the six overall models (one correction per age point) using Hochberg’s improved Bonferroni correction (Shaffer, 1995).”
Effect of Multiple Testing Adjustment in Differential Item Functioning Detection (2013, unknown): “Email: jkim59@gmail.com Adjustment procedures in multiple testing can be effective in controlling a Type I error rate (Shaffer, 1995).”
Reducing Gang Violence Using Focused Deterrence: Evaluating the Cincinnati Initiative to Reduce Violence (CIRV) (2013, methodology): “8% (Shaffer, 1995).”
Hidden Multiplicity in Multiway ANOVA: Prevalence, Consequences, and Remedies (2014, unknown): “When this closed test procedure is followed, one is safeguarded against capitalization on chance both for unbalanced and balanced designs (Shaffer, 1995).”
A study on the use of non-parametric tests for analyzing the evolutionary algorithms’ behaviour: a case study on the CEC’2005 Special Session on Real Parameter Optimization (2009, methodology): “We recommend the use of this test together with Holm's method.”
Experimental Design and Data Analysis for Biologists (2002, methodology): “What comprises a family of tests (Shaffer 1995, Hancock & Klockars 1996) for determining error rates is a difficult decision.”
A Test for Superior Predictive Ability (2005, unknown): “use of 7^PA in practice, and it is worth pointing out that stu dentization of the individual statistics is the conventional ap proach to multiple comparisons (see Miller 1981; Savin 1984).”
On tests of spatial pattern based on simulation envelopes (2014, background): “This is a problem of multiple testing or multiple comparison (Hochberg and Tamhane 1987, Shaffer 1995, Hsu 1996).”
Truncated product method for combining P‐values (2002, methodology): “For each test the p-value pi is calculated: if Hi is true, this is the probability of observing a test statistic as extreme as or more extreme than the observed value in the direction of rejection [Shaffer, 1995].”
Information content of female chemical signals in the wolf spider, Schizocosa ocreata: male discrimination of reproductive state and receptivity (2005, methodology): “025) was used in all significance tests to account for multiple ANOVA comparisons (Shaffer 1995).”
Testing Joint Hypotheses When One of the Alternatives is One-Sided (2007, unknown): “First, one may use the standard methods of testing multiple hypotheses; for example, see Savin (1984) for an introduction.”