Pages that link to "Item:Q2254480"
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The following pages link to Permutation \(p\)-values should never be zero: calculating exact \(p\)-values when permutations are randomly drawn (Q2254480):
Displaying 29 items.
- Testing conditional independence in supervised learning algorithms (Q113672) (← links)
- Hypothesis testing for topological data analysis (Q141945) (← links)
- Robust methods to detect disease-genotype association in genetic association studies: calculate \(p\)-values using exact conditional enumeration instead of simulated permutations or asymptotic approximations (Q482819) (← links)
- Ridge rerandomization: an experimental design strategy in the presence of covariate collinearity (Q826983) (← links)
- Estimating a common covariance matrix for network meta-analysis of gene expression datasets in diffuse large B-cell lymphoma (Q1621047) (← links)
- A computationally fast variable importance test for random forests for high-dimensional data (Q1630843) (← links)
- On two-stage Monte Carlo tests of composite hypotheses (Q1658357) (← links)
- Semi-supervised multiple testing (Q2084464) (← links)
- Exact testing with random permutations (Q2273022) (← links)
- Model-free two-sample test for network-valued data (Q2291338) (← links)
- Optimal allocation of Monte Carlo simulations to multiple hypothesis tests (Q2302509) (← links)
- A test for detecting differential indirect trans effects between two groups of samples (Q2324946) (← links)
- A global × global test for testing associations between two large sets of variables (Q2956832) (← links)
- Distribution-free Pointwise Adjusted %-values for Functional Hypotheses (Q3300660) (← links)
- False Discovery Proportion Estimation by Permutations: Confidence for Significance Analysis of Microarrays (Q4603817) (← links)
- Calibration of posterior predictive <i>p</i>-values for model checking (Q5065240) (← links)
- Predictor versus response permutation for significance testing in weighted regression and redundancy analysis (Q5086087) (← links)
- Multiple permutation test for high-dimensional data: a components-combined algorithm (Q5107348) (← links)
- False discovery rate control for grouped or discretely supported p-values with application to a neuroimaging study (Q5212097) (← links)
- A permutation approach to goodness-of-fit testing in regression models (Q5880775) (← links)
- Another Look at the Lady Tasting Tea and Differences Between Permutation Tests and Randomisation Tests (Q6066746) (← links)
- Testing for association in multiview network data (Q6079584) (← links)
- \textit{distinct}: a novel approach to differential distribution analyses (Q6104150) (← links)
- Multiple hypothesis testing with persistent homology (Q6154236) (← links)
- Two-sample goodness-of-fit tests on the flat torus based on Wasserstein distance and their relevance to structural biology (Q6170607) (← links)
- Design choices in randomization tests that affect power (Q6549194) (← links)
- Post-clustering difference testing: valid inference and practical considerations with applications to ecological and biological data (Q6561255) (← links)
- New methods for multiple testing in permutation inference for the general linear model (Q6622231) (← links)
- MERIT: controlling Monte-Carlo error rate in large-scale Monte-Carlo hypothesis testing (Q6630269) (← links)
