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Open AccessJournal ArticleDOI

A Simple Sequentially Rejective Multiple Test Procedure

Sture Holm
- 01 Jan 1979 - 
- Vol. 6, pp 65-70
TLDR
In this paper, a simple and widely accepted multiple test procedure of the sequentially rejective type is presented, i.e. hypotheses are rejected one at a time until no further rejections can be done.
Abstract
This paper presents a simple and widely ap- plicable multiple test procedure of the sequentially rejective type, i.e. hypotheses are rejected one at a tine until no further rejections can be done. It is shown that the test has a prescribed level of significance protection against error of the first kind for any combination of true hypotheses. The power properties of the test and a number of possible applications are also discussed.

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Obtaining well calibrated probabilities using bayesian binning

TL;DR: A new non-parametric calibration method called Bayesian Binning into Quantiles (BBQ) is presented which addresses key limitations of existing calibration methods and can be readily combined with many existing classification algorithms.
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Ontological analysis of gene expression data: current tools, limitations, and open problems

TL;DR: A detailed comparison of the capabilities of 14 ontological analysis tools is presented using the following criteria: scope of the analysis, visualization capabilities, statistical model used, correction for multiple comparisons, reference microarrays available, installation issues and sources of annotation data.
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The Strepsiptera problem: phylogeny of the holometabolous insect orders inferred from 18S and 28S ribosomal DNA sequences and morphology.

TL;DR: Phylogenetic relationships among the holometabolous insect orders were inferred from cladistic analysis of nucleotide sequences of 18S ribosomal DNA (rDNA) and 28S rDNA and morphological characters.
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TCF7L2 polymorphisms and progression to diabetes in the Diabetes Prevention Program.

TL;DR: The risk-conferring genotypes in TCF7L2 are associated with impaired beta-cell function but not with insulin resistance, and seem to be associated with an increased risk of diabetes among persons with impaired glucose tolerance.
Book

Evaluating Learning Algorithms: A Classification Perspective

TL;DR: This book examines various aspects of the evaluation process with an emphasis on classification algorithms, describing several techniques for classifier performance assessment, error estimation and resampling, obtaining statistical significance as well as selecting appropriate domains for evaluation.
References
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Journal ArticleDOI

A Multiple Comparison Procedure for Comparing Several Treatments with a Control

TL;DR: In this article, a multiple comparison procedure for comparing several treatments with a control is presented, which is based on the Multiple Comparison Procedure for Comparing Several Treatments with a Control (MCPC).
Book

Simultaneous Statistical Inference

TL;DR: In this article, the authors presented a case of two means regression method for the family error rate, which was used to estimate the probability of a family having a nonzero family error.
Journal ArticleDOI

Simultaneous test procedures-some theory of multiple comparisons'

TL;DR: The Simultaneous Test Procedure (STP) as discussed by the authors is a generalization of the notion of multiple comparisons for means, which was originally proposed by Aitchison and Roy.