Controlling the number of false discoveries

A practical guide to methods controlling false discoveries in ...

In high-throughput studies, hundreds to millions of hypotheses are typically tested. Statistical methods that control the false discovery ...

Controlling the number of false discoveries: application to high ...

We propose two stepwise permutation-based procedures to control with specified confidence the actual number of false discoveries and approximately the actual ...

False Discovery Rate

Controlling for the false discovery rate (FDR) is a way to identify as many significant features as possible while incurring a relatively low proportion of ...

Controlling the number of false discoveries

KEY WORDS: False discovery; Multiple comparisons; Stepwise procedure;. Permutation method; Gene expression; Microarray. Page 4. 4. 1.

Controlling False Discoveries in Large-Scale Experimentation

Controlling the False Discovery Rate ... The recognition that a large number of tests leads to almost sure false discoveries has led to various ...

False discovery rate - Wikipedia

In statistics, the false discovery rate (FDR) is a method of conceptualizing the rate of type I errors in null hypothesis testing when conducting multiple ...

A practical guide to methods controlling false discoveries ... - PubMed

Statistical methods that control the false discovery rate (FDR) have emerged as popular and powerful tools for error rate control. While classic ...

False discovery rate control – Support Help Center - Optimizely

Using traditional statistics, you increase your exposure to false positives as you run experiments on many goals and variations at once (the " ...

Powerful and interpretable control of false discoveries in two-group ...

The standard approach for statistical inference in differential expression (DE) analyses is to control the false discovery rate (FDR).

Controlling the number of false discoveries - ScienceDirect.com

We propose two stepwise permutation-based procedures to control with specified confidence the actual number of false discoveries and approximately the actual ...

Controlling the False Discovery Rate: A Practical and Powerful - jstor

of multiple treatments and families whose test statistics are multivariate normal (or t). In practice, many of the problems encountered are not of the multiple- ...

A Tutorial on False Discovery Control - Statistics & Data Science

How to Choose a Threshold? • Control Per-Comparison Type I Error (PCER). – a.k.a. “uncorrected testing,” many type I errors.

Controlling False Discoveries During Interactive Data Exploration

A key insight is that existing methods for controlling the false discovery rate (such as FDR) are not directly applicable to interactive data exploration. We ...

Controlling for false discoveries subsequently to large scale one ...

To cope for this, it has become standard to control for the so-called false discovery rate (or FDR). FDR control procedures form a class of ...

Control of the Mean Number of False Discoveries, Bonferroni and ...

The quest for less conservative MTPs has resulted in many new concepts of error rate, such as the false discovery rate (FDR) [Benjamini and Hochberg. (1995), ...

[1404.5609] Controlling the false discovery rate via knockoffs - arXiv

Abstract:In many fields of science, we observe a response variable together with a large number of potential explanatory variables, ...

Controlling the False Discovery Rate: A Practical and Powerful ...

This error rate is equivalent to the FWER when all hypotheses are true but is smaller otherwise. Therefore, in problems where the control of the false discovery ...

Using controls to limit false discovery in the era of big data

Procedures for controlling the false discovery rate (FDR) are widely applied as a solution to the multiple comparisons problem of ...

False Discovery Rate – Glossary - Split Software

By applying FDR-controlling procedures, researchers can set a significance level (usually denoted as level α) that reflects the proportion of false positives ...

Controlling the False Discovery Rate: A Practical and Powerful ...

In many multiplicity problems the number of erroneous rejections should be taken into account and not only the question whether any error was ...