Skip to main navigation
Skip to search
Skip to main content
Luxembourg Institute of Health Home
Search content at Luxembourg Institute of Health
Home
Profiles
Research units
Research output
Projects
Equipment
Datasets
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
103
Citations (Scopus)
Overview
Fingerprint
Fingerprint
Dive into the research topics of 'Permutation - Based statistical tests for multiple hypotheses'. Together they form a unique fingerprint.
Sort by
Weight
Alphabetically
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 Testing
16%
Keyphrases
Multiple Hypotheses
100%
Permutation-based
100%
Permutation Test
66%
Numerical Data
66%
Type I Error
33%
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%
Biochemistry, Genetics and Molecular Biology
Statistical Test
100%
Functional Genomics
50%
Chi-Square Testing
50%
Genetic Background
50%
Proteomics
50%