Multiple Comparison Procedures

By H. Keselman, B. Holland, Robert A. Cribbie. 2005

1,638 citations recorded by the source corpus.

Subfields: Management Science and Operations Research, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/f3032dc87b381ee6ac7d5a78d9c21e6f7f78c199

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In Management Science and Operations Research

In Statistics and Probability

Citations in the corpus

Generalizing Simes' test and Hochberg's stepup procedure (2008, background): “This is the situation that occurs in the many-to-one comparison problem in unbalanced one-way setup [6].”
Comparative Analysis of Spectral Approaches to Feature Extraction for EEG-Based Motor Imagery Classification (2008, methodology): “difference criterion [33] was used to perform the factorial post test simultaneous comparison of feature sets and classifiers.”
On optimality of stepdown and stepup multiple test procedures (2005, methodology): “Background material on stepwise procedures is provided by Hochberg and Tamhane [6] and Westfall and Young [18].”
Lutetium-177–PSMA-617 for Metastatic Castration-Resistant Prostate Cancer (2021, background): “279 (191) Discontinued 177Lu-PSMA-617 127 (91) Had progressive disease 54 (35) Had adverse event 36 (27) Had lack of clinical benefit 23 (8) Withdrew consent to treatment 16 (12) Were withdrawn by investigator 14 (11) Died 6 (4) Received prohibited therapy 2 (2) Had other reason 1 (1) Was lost to fo”
Organizational Learning (2012, background): “Partial h2 serves as an effect size estimate, functions as a nonlinear analog to R2 in regression, and is similarly inter preted as percentage of variance explained (Hochberg & Tamhane, 1987; Huberty & Morris, 1989).”
Controlling the risk of spurious findings from meta‐regression (2004, background): “When several covariates are investigated, some would advocate an adjustment for multiple comparisons to control false-positive ndings, although opinions di er as to whether such techniques are appropriate [17, 18].”
Sparse Solution of Underdetermined Systems of Linear Equations by Stagewise Orthogonal Matching Pursuit (2012, methodology): “We adopt language from statistical decision theory [39] and the field of multiple comparisons [38] .”
Parametric Probability Densities and Distribution Functions for Tukey g -and- h Transformations and their Use for Fitting Data (2008, background): “modeling of extreme events or simulation studies that have included such topics as: common stock returns [1] and [2], interest rate option pricing [4], portfolio management [17], stock market daily returns [16], extreme oceanic wind speeds [3], and regression, generalized additive models, or other a”
Analysis of Trials with Complex Treatment Structure Using Multiple Contrast Tests (2009, methodology): “However, even when protected by a preceding global F-test, decisions based on LSD do not control the familywise error in the strong sense (Hochberg and Tamhane, 1987).”
Male satin bowerbirds, Ptilonorhynchus violaceus, adjust their display intensity in response to female startling: an experiment with robotic females (2006, methodology): “For all a posteriori and/or nonorthogonal contrasts between means, we present P values that are corrected for multiple comparisons using the Stepdown Bonferroni method in SAS MULTTEST (Hochberg & Tamhane 1987); corrected P values are noted in the text.”
Simulation optimization: a review of algorithms and applications (2014, background): “The main ideas and techniques for multiple comparisons in the context of pairwise comparisons, or against a known standard are presented in [86], [59], and [90].”
Diffusion tensor imaging: serial quantitation of white matter tract maturity in premature newborns (2004, methodology): “P values were calculated based on analysis of ranks of the diffusion parameters, and P values for pairwise differences were corrected for multiple comparisons using Tukey–Kramer adjustment (Hochberg and Tamhane, 1987).”