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False discovery rate

  • Multiple Testing

    Multiple Testing

  • Discussion: on Methods Controlling the False Discovery Rate

    Discussion: on Methods Controlling the False Discovery Rate

  • Inference on the Limiting False Discovery Rate and the P-Value Threshold Parameter Assuming Weak Dependence Between Gene Expression Levels Within Subject

    Inference on the Limiting False Discovery Rate and the P-Value Threshold Parameter Assuming Weak Dependence Between Gene Expression Levels Within Subject

  • Heterocedasticity-Adjusted Ranking and Thresholding for Large-Scale Multiple Testing

    Heterocedasticity-Adjusted Ranking and Thresholding for Large-Scale Multiple Testing

  • Comprehensive Comparative Analysis of Local False Discovery Rate Control Methods

    Comprehensive Comparative Analysis of Local False Discovery Rate Control Methods

  • Asymptotic Results on Adaptive False Discovery Rate Controlling Procedures Based on Kernel Estimators

    Asymptotic Results on Adaptive False Discovery Rate Controlling Procedures Based on Kernel Estimators

  • 1 Why Is Multiple Testing a Problem? 2 the Bonferroni Correction

    1 Why Is Multiple Testing a Problem? 2 the Bonferroni Correction

  • False Discovery Rate 1 the Pairwise Multiple

    False Discovery Rate 1 the Pairwise Multiple

  • Size, Power and False Discovery Rates

    Size, Power and False Discovery Rates

  • P and Q Values in RNA Seq the Q-Value Is an Adjusted P-Value, Taking in to Account the False Discovery Rate (FDR)

    P and Q Values in RNA Seq the Q-Value Is an Adjusted P-Value, Taking in to Account the False Discovery Rate (FDR)

  • From P-Value to FDR

    From P-Value to FDR

  • False Discovery Rate Control with Unknown Null Distribution: Is It Possible to Mimic the Oracle?

    False Discovery Rate Control with Unknown Null Distribution: Is It Possible to Mimic the Oracle?

  • Principal Component Analysis for Big Data Arxiv:1801.01602V1 [Stat.ME

    Principal Component Analysis for Big Data Arxiv:1801.01602V1 [Stat.ME

  • Controlling the Proportion of Falsely-Rejected Hypotheses When Conducting Multiple Tests with Climatological Data

    Controlling the Proportion of Falsely-Rejected Hypotheses When Conducting Multiple Tests with Climatological Data

  • Control of the False Discovery Rate Under Dependence Using the Bootstrap and Subsampling

    Control of the False Discovery Rate Under Dependence Using the Bootstrap and Subsampling

  • Neuralfdr: Learning Discovery Thresholds from Hypothesis Features

    Neuralfdr: Learning Discovery Thresholds from Hypothesis Features

  • "Principal Component Analysis for Big Data" In

  • Multtest: Resampling-Based Multiple Hypothesis Testing

    Multtest: Resampling-Based Multiple Hypothesis Testing

Top View
  • Thresholding of Statistical Maps in Functional Neuroimaging Using the False Discovery Rate1
  • False Discovery Rate 1 the Pairwise Multiple Comparison
  • Control of the False Discovery Rate Under Dependence Using the Bootstrap and Subsampling
  • A Novel Principal Component Analysis Method for Identifying Differentially Expressed Gene Signatures Ai-Ling Teh Iowa State University
  • Scrutiny of the Monotone Likelihood Ratio Assumption in Multiple Testing
  • A Leave-P-Out Based Estimation of the Proportion of Null Hypotheses Alain Celisse, Stéphane Robin
  • Homework 1 Questions Model Selection and Evaluation of Results
  • Don't Have to Worry About Multiple Comparisons
  • False Discovery Rate Control
  • False Discovery Rate Computation: Illustrations and Modifications by Megan Hollister Murray and Jeffrey D
  • Effect of Cross-Validation on the Output of Multiple Testing Procedures Josh Dallas Price University of Arkansas, Fayetteville
  • Resampling-Based Control of the FDR
  • Estimation of the False Discovery Rate
  • SUPPLEMENTARY MATERIAL Method the False Discovery Rate (FDR) Method Offers an Objective Way to Select a P- Value Threshold That
  • Estimating False Discovery Proportion Under Arbitrary Covariance
  • Resampling-Based False Discovery Rate Controlling Multiple Test Procedures for Correlated Test Statistics
  • Miscellanea False Discovery Rate for Scanning Statistics
  • Controlling the False Discovery Rate of the Association/Causality Structure Learned with the PC Algorithm


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