Pages that link to "Item:Q4665895"

The following pages link to A Direct Approach to False Discovery Rates (Q4665895):

Displaying 50 items.

• From genome-scale data to models of infectious disease: a Bayesian network-based strategy to drive model development (Q899417) (← links)
• Microarrays, empirical Bayes and the two-groups model (Q900479) (← links)
• Comment: ``Microarrays, empirical Bayes and the two-group model'' (Q900482) (← links)
• Dynamic adaptive multiple tests with finite sample FDR control (Q900753) (← links)
• Estimation of empirical null using a mixture of normals and its use in local false discovery rate (Q901645) (← links)
• Detecting differentially expressed genes with RNA-seq data using backward selection to account for the effects of relevant covariates (Q906078) (← links)
• Genome-wide significance levels and weighted hypothesis testing (Q908107) (← links)
• Semiparametric detection of significant activation for brain fMRI (Q939660) (← links)
• Clustering gene expression profile data by selective shrinkage (Q945789) (← 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)
• Internal validation inferences of significant genomic features in genome-wide screening (Q961192) (← links)
• Optimizing design of two-stage experiments for transcriptional profiling (Q961323) (← links)
• The beta-binomial distribution for estimating the number of false rejections in microarray gene expression studies (Q961329) (← links)
• Identification of differentially expressed spatial clusters using humoral response microarray data (Q961752) (← links)
• Partition clustering of high dimensional low sample size data based on \(p\)-values (Q961889) (← links)
• An empirical Bayes mixture method for effect size and false discovery rate estimation (Q977646) (← links)
• Order thresholding (Q988008) (← links)
• A cross-validation based estimation of the proportion of true null hypotheses (Q988946) (← links)
• Interval estimation in a finite mixture model: Modeling \(P\)-values in multiple testing ap\-plications (Q1010393) (← links)
• A clarifying comparison of methods for controlling the false discovery rate (Q1015854) (← links)
• A simple forward selection procedure based on false discovery rate control (Q1018611) (← links)
• On a generalized false discovery rate (Q1018650) (← links)
• Comments on: Control of the false discovery rate under dependence using the bootstrap and subsampling (Q1019476) (← links)
• An adaptive step-down procedure with proven FDR control under independence (Q1020972) (← links)
• More powerful control of the false discovery rate under dependence (Q1039956) (← links)
• A note on multiple testing for composite null hypotheses (Q1044058) (← links)
• Resampling-based multiple testing for microarray data analysis (With comments) (Q1423855) (← links)
• The positive false discovery rate: A Bayesian interpretation and the \(q\)-value (Q1430922) (← links)
• Multiple hypothesis testing in microarray experiments. (Q1431222) (← links)
• Controlling mixed directional false discovery rate in multidimensional decisions with applications to microarray studies (Q1616696) (← links)
• Inference for longitudinal data with nonignorable nonmonotone missing responses (Q1623389) (← links)
• Semiparametric kernel-based regression for evaluating interaction between pathway effect and covariate (Q1654561) (← 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)
• Bayesian nonparametric multiple testing (Q1659060) (← links)
• A powerful FDR control procedure for multiple hypotheses (Q1659247) (← links)
• A scoring criterion for rejection of clustered \(p\)-values (Q1662188) (← links)
• Modifying SAMseq to account for asymmetry in the distribution of effect sizes when identifying differentially expressed genes (Q1670284) (← links)
• Periodically correlated modeling by means of the periodograms asymptotic distributions (Q1685304) (← links)
• A new method to detect periodically correlated structure (Q1695432) (← links)
• The false discovery rate (FDR) of multiple tests in a class room lecture (Q1698244) (← links)
• Non-marginal decisions: a novel Bayesian multiple testing procedure (Q1722066) (← links)
• Split-door criterion: identification of causal effects through auxiliary outcomes (Q1728679) (← links)
• Adaptive estimation of the sparsity in the Gaussian vector model (Q1731745) (← links)
• Online rules for control of false discovery rate and false discovery exceedance (Q1750278) (← links)
• Copulas, uncertainty, and false discovery rate control (Q1783940) (← links)
• A new perspective on robust \(M\)-estimation: finite sample theory and applications to dependence-adjusted multiple testing (Q1800789) (← links)
• A stochastic process approach to false discovery control. (Q1879929) (← links)
• Investigations into refinements of Storey's method of multiple hypothesis testing minimising the FDR, and its application to test binomial data (Q1927225) (← links)