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Bonferroni correction

  • ©2018 Oxford University Press

    ©2018 Oxford University Press

  • The Problem of Multiple Testing and Its Solutions for Genom-Wide Studies

    The Problem of Multiple Testing and Its Solutions for Genom-Wide Studies

  • Simultaneous Confidence Intervals for Comparing Margins of Multivariate

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  • 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)

  • Dataset Decay and the Problem of Sequential Analyses on Open Datasets

    Dataset Decay and the Problem of Sequential Analyses on Open Datasets

  • A Partitioning Approach for the Selection of the Best Treatment

    A Partitioning Approach for the Selection of the Best Treatment

  • Multiple Testing Corrections

    Multiple Testing Corrections

  • Multiple Testing with Gene Expression Array Data

    Multiple Testing with Gene Expression Array Data

  • Don't Have to Worry About Multiple Comparisons

    Don't Have to Worry About Multiple Comparisons

  • Evaluation of the Statistical Elements of the Teaching Excellence and Student Outcomes Framework

    Evaluation of the Statistical Elements of the Teaching Excellence and Student Outcomes Framework

  • False Discovery Rate Computation: Illustrations and Modifications by Megan Hollister Murray and Jeffrey D

    False Discovery Rate Computation: Illustrations and Modifications by Megan Hollister Murray and Jeffrey D

  • Machine-Learning Tests for Effects on Multiple Outcomes

    Machine-Learning Tests for Effects on Multiple Outcomes

  • Multiple Comparisons

    Multiple Comparisons

  • Multiple Comparison Procedures

    Multiple Comparison Procedures

  • Bonferroni Correction

    Bonferroni Correction

  • Sequential Multiple Hypothesis Testing with Type I Error Control

    Sequential Multiple Hypothesis Testing with Type I Error Control

  • Dataset Decay: the Problem of Sequential Analyses on Open Datasets

    Dataset Decay: the Problem of Sequential Analyses on Open Datasets

  • Controlling False Discoveries in Bayesian Gene Networks with Lasso Regression P-Values Lingfei Wang ∗ and Tom Michoel

    Controlling False Discoveries in Bayesian Gene Networks with Lasso Regression P-Values Lingfei Wang ∗ and Tom Michoel

Top View
  • The Use of Meta-Analytic Statistical Significance Testing
  • Multiple Comparisons: Bonferroni Corrections and False Discovery Rates
  • Looking at the Other Side of Bonferroni
  • Multiple Testing Corrections
  • Controlling False Discoveries During Interactive Data Exploration
  • Lecture 11: Testing Multiple Hypotheses
  • Guidelines for Multiple Testing in Impact Evaluations


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