Pages that link to "Item:Q5473054"

The following pages link to Estimating the Proportion of True Null Hypotheses, with application to DNA Microarray Data (Q5473054):

Displaying 50 items.

• Monte Carlo null models for genomic data (Q254411) (← links)
• On improving some adaptive BH procedures controlling the FDR under dependence (Q384261) (← links)
• Randomized \(p\)-values for multiple testing of composite null hypotheses (Q394102) (← links)
• A Bernstein-type estimator for decreasing density with application to \(p\)-value adjustments (Q425406) (← links)
• Control of the false discovery proportion for independently tested null hypotheses (Q428331) (← links)
• Optimal rejection curves for exact false discovery rate control (Q466988) (← links)
• Estimating the number of genes that are differentially expressed in both of two independent experiments (Q484707) (← links)
• Simultaneous critical values for \(t\)-tests in very high dimensions (Q637106) (← links)
• A conservative estimator for the proportion of false nulls based on Dvoretzky, Kiefer and Wolfowitz inequality (Q645440) (← links)
• Bayesian inference for the proportion of true null hypotheses using minimum Hellinger distance (Q665031) (← links)
• Estimating the number of true null hypotheses in multiple hypothesis testing (Q892486) (← links)
• Microarrays, empirical Bayes and the two-groups model (Q900479) (← links)
• Dynamic adaptive multiple tests with finite sample FDR control (Q900753) (← links)
• A multivariate version of the Benjamini-Hochberg method (Q953866) (← links)
• On estimating the proportion of true null hypotheses for false discovery rate controlling procedures in exploratory DNA microarray studies (Q957038) (← links)
• A cross-validation based estimation of the proportion of true null hypotheses (Q988946) (← links)
• Nonparametric density estimation by exact leave-\(p\)-out cross-validation (Q1023567) (← links)
• Estimating the proportion of true null hypotheses in multiple testing problems (Q1658053) (← links)
• Estimation of the proportion of true null hypotheses in high-dimensional data under dependence (Q1658319) (← links)
• A parametric model to estimate the proportion from true null using a distribution for \(p\)-values (Q1658359) (← links)
• Adaptive estimation of the sparsity in the Gaussian vector model (Q1731745) (← links)
• A new perspective on robust \(M\)-estimation: finite sample theory and applications to dependence-adjusted multiple testing (Q1800789) (← links)
• Optimal significance analysis of microarray data in a class of tests whose null statistic can be constructed (Q1936546) (← links)
• Distributions associated with simultaneous multiple hypothesis testing (Q2040901) (← links)
• Wavelet-based Benjamini-Hochberg procedures for multiple testing under dependence (Q2045650) (← links)
• Null-free false discovery rate control using decoy permutations (Q2125640) (← links)
• Optimal false discovery rate control for large scale multiple testing with auxiliary information (Q2131256) (← links)
• Estimating the proportion of true null hypotheses under dependency: a marginal bootstrap approach (Q2189123) (← links)
• Adaptive nonparametric estimation of a component density in a two-class mixture model (Q2242876) (← links)
• Unsupervised empirical Bayesian multiple testing with external covariates (Q2271346) (← links)
• Uniformly consistently estimating the proportion of false null hypotheses via Lebesgue-Stieltjes integral equations (Q2274975) (← links)
• Empirical Bayes analysis of RNA sequencing experiments with auxiliary information (Q2291530) (← links)
• Flexible estimation of a semiparametric two-component mixture model with one parametric component (Q2340867) (← links)
• General power and sample size calculations for high-dimensional genomic data (Q2344242) (← links)
• Power-enhanced multiple decision functions controlling family-wise error and false discovery rates (Q2429940) (← links)
• Size, power and false discovery rates (Q2456004) (← links)
• Supporting informationa robust method for large-scale multiple hypotheses testing (Q2786167) (← links)
• Bonferroni-type Plug-in Procedure Controlling Generalized Familywise Error Rate (Q2792306) (← links)
• A framework for Monte Carlo based multiple testing (Q2835309) (← links)
• A moment-based method for estimating the proportion of true null hypotheses and its application to microarray gene expression data (Q2838991) (← links)
• Estimating effect sizes of differentially expressed genes for power and sample-size assessments in microarray experiments (Q2893379) (← links)
• False discovery rate control of step-up-down tests with special emphasis on the asymptotically optimal rejection curve (Q2911723) (← links)
• On Efficient Estimators of the Proportion of True Null Hypotheses in a Multiple Testing Setup (Q2932781) (← links)
• Bias-Corrected Diagonal Discriminant Rules for High-Dimensional Classification (Q3076039) (← links)
• Empirical null estimation using zero-inflated discrete mixture distributions and its application to protein domain data (Q3119861) (← links)
• Estimating the Proportion of True Null Hypotheses in Nonparametric Exponential Mixture Model with Appication to the Leukemia Gene Expression Data (Q3168372) (← links)
• A review of modern multiple hypothesis testing, with particular attention to the false discovery proportion (Q3597112) (← links)
• Nonparametric Testing for DNA Copy Number Induced Differential mRNA Gene Expression (Q3623736) (← links)
• Control of the FWER in Multiple Testing Under Dependence (Q3645003) (← links)
• Controlling the Familywise Error Rate with Plug-in Estimator for the Proportion of True Null Hypotheses (Q4632617) (← links)