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Permutation - Based statistical tests for multiple hypotheses
Anyela Camargo
, Francisco Azuaje
, Haiying Wang
*
, Huiru Zheng
*
Corresponding author for this work
Research output
:
Contribution to journal
›
Review article
›
peer-review
107
Citations (Scopus)
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Keyphrases
Statistical Test
100%
Categorical Data
100%
Multiple Hypotheses
100%
Permutation-based
100%
Permutation Test
66%
Numerical Data
66%
Test Statistic
50%
Bonferroni
50%
Type I Error
33%
Functional Genomics
16%
Proteomic Analysis
16%
Chi-square
16%
Genomic Analysis
16%
Chi-square Test
16%
Hypothesis Testing
16%
Test Validity
16%
Public Domain
16%
Public Domain Software
16%
User-friendly Software
16%
Hypothesis Evaluation
16%
Unpaired Data
16%
Multiple Testing Correction
16%
Simultaneous Testing
16%
Bartlett's Test
16%
Paired Data
16%
ANOVA Test
16%
Resampling
16%
Test Tasks
16%
Public Dataset
16%
Test-based
16%
Mathematics
Permutation
100%
Categorical Data
100%
Statistical Test
100%
Numerical Data
66%
Permutation Test
66%
Test Statistic
50%
Benjamini
50%
Analysis of Variance
33%
Software Source
16%
Multiple Testing
16%
Simultaneous Test
16%
Statistical Hypothesis Testing
16%
Chi Square Test
16%