Pages that link to "Item:Q1848902"

The following pages link to The control of the false discovery rate in multiple testing under dependency. (Q1848902):

Displaying 50 items.

• A comprehensive error rate for multiple testing (Q2208400) (← links)
• On spike and slab empirical Bayes multiple testing (Q2215749) (← links)
• Test of significance for high-dimensional longitudinal data (Q2215753) (← links)
• Relaxing the assumptions of knockoffs by conditioning (Q2215771) (← links)
• Test-statistic correlation and data-row correlation (Q2216977) (← links)
• A tutorial on statistically sound pattern discovery (Q2218330) (← links)
• Bootstrap and permutation rank tests for proportional hazards under right censoring (Q2223340) (← links)
• Asymptotic theory of dependent Bayesian multiple testing procedures under possible model misspecification (Q2230874) (← links)
• Variable importance assessments and backward variable selection for multi-sample problems (Q2237823) (← links)
• A further analysis of robust regression modeling and data mining corrections testing in global stocks (Q2241171) (← links)
• False discovery variance reduction in large scale simultaneous hypothesis tests (Q2241618) (← links)
• Adapting to one- and two-way classified structures of hypotheses while controlling the false discovery rate (Q2242848) (← links)
• A sufficient criterion for control of some generalized error rates in multiple testing (Q2251695) (← links)
• Tests for covariance matrices in high dimension with less sample size (Q2252902) (← links)
• Efficient identification of independence networks using mutual information (Q2255845) (← links)
• Imputation of truncated \(p\)-values for meta-analysis methods and its genomic application (Q2258569) (← links)
• A note on estimating the false discovery rate under mixture model (Q2270286) (← links)
• Uniformly consistently estimating the proportion of false null hypotheses via Lebesgue-Stieltjes integral equations (Q2274975) (← links)
• Two-group classification with high-dimensional correlated data: a factor model approach (Q2275650) (← links)
• On Benjamini-Hochberg procedure applied to mid \(p\)-values (Q2301044) (← links)
• A robust procedure to build dynamic factor models with cluster structure (Q2305973) (← links)
• Adaptive controls of FWER and FDR under block dependence (Q2306243) (← links)
• Gene expression and protein-protein interaction data for identification of colon cancer related genes using \(f\)-information measures (Q2311250) (← links)
• Cluster partitions and fitness landscapes of the Drosophila fly microbiome (Q2315204) (← links)
• Group sequential BH and its adaptive versions controlling the FDR (Q2317253) (← links)
• On the use of statistics in genomics and bioinformatics (Q2324072) (← links)
• A note on variable selection in functional regression via random subspace method (Q2324267) (← links)
• Reproducibility of biomarker identifications from mass spectrometry proteomic data in cancer studies (Q2324977) (← links)
• Dynamic adaptive procedures that control the false discovery rate (Q2326045) (← links)
• A unified treatment of multiple testing with prior knowledge using the p-filter (Q2328060) (← links)
• Inequalities for the false discovery rate (FDR) under dependence (Q2340874) (← links)
• Statistical properties of gene-gene correlations in omics experiments (Q2343655) (← links)
• A two-step approach to model precipitation extremes in California based on max-stable and marginal point processes (Q2349588) (← links)
• Classes of multiple decision functions strongly controlling FWER and FDR (Q2352401) (← links)
• New procedures controlling the false discovery proportion via Romano-Wolf's heuristic (Q2352738) (← links)
• A new variable selection approach using random forests (Q2361222) (← links)
• QuickMMCTest: quick multiple Monte Carlo testing (Q2361459) (← links)
• A two-sample test for high-dimensional data with applications to gene-set testing (Q2380090) (← links)
• Discovering significant patterns (Q2384152) (← links)
• On the Simes inequality in elliptical models (Q2397052) (← links)
• A double application of the Benjamini-Hochberg procedure for testing batched hypotheses (Q2397957) (← links)
• Lag selection and model specification testing in nonparametric autoregressive conditional heteroscedastic models (Q2409623) (← links)
• Coarse-to-fine multiple testing strategies (Q2414493) (← links)
• Bayesian hidden Markov models for dependent large-scale multiple testing (Q2416747) (← links)
• Effects of statistical dependence on multiple testing under a hidden Markov model (Q2429937) (← links)
• Power-enhanced multiple decision functions controlling family-wise error and false discovery rates (Q2429940) (← links)
• Exact calculations for false discovery proportion with application to least favorable configura\-tions (Q2429941) (← links)
• Multiple testing via \(\mathrm{FDR}_L\) for large-scale imaging data (Q2429942) (← links)
• A guided random walk through some high dimensional problems (Q2431011) (← links)
• Testing over a continuum of null hypotheses with false discovery rate control (Q2444670) (← links)