Pages that link to "Item:Q957038"
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The following pages link to On estimating the proportion of true null hypotheses for false discovery rate controlling procedures in exploratory DNA microarray studies (Q957038):
Displaying 16 items.
- The beta-binomial SGoF method for multiple dependent tests (Q104265) (← links)
- Evaluations of FDR-controlling procedures in multiple hypothesis testing (Q637990) (← links)
- Estimation of the proportion of true null hypotheses in high-dimensional data under dependence (Q1658319) (← links)
- Comparisons of estimators of the number of true null hypotheses and adaptive FDR procedures in multiplicity testing (Q3070634) (← links)
- Optimal False Discovery Rate Control with Kernel Density Estimation in a Microarray Experiment (Q3178487) (← links)
- Estimation procedures for the false discovery rate: a systematic comparison for microarray data (Q3298588) (← links)
- Estimation of False Discovery Rates in Multiple Testing: Application to Gene Microarray Data (Q3433245) (← links)
- Controlling False Discoveries in Multidimensional Directional Decisions, with Applications to Gene Expression Data on Ordered Categories (Q3576924) (← links)
- A Comparison of Procedures for Controlling the False Discovery Rate in the Presence of Small Variance Genes: A Simulation Study (Q3652748) (← links)
- Improved Estimation of the Noncentrality Parameter Distribution from a Large Number of <i>t</i>‐Statistics, with Applications to False Discovery Rate Estimation in Microarray Data Analysis (Q4911943) (← links)
- Estimating the proportion of true null hypotheses with application in microarray data (Q5055123) (← links)
- An Adaptive Single‐step FDR Procedure with Applications to DNA Microarray Analysis (Q5122907) (← links)
- Estimating the proportion of true null hypotheses using the pattern of observed<i>p</i>-values (Q5129086) (← links)
- A Comparison of Methods to Control Type I Errors in Microarray Studies (Q5443067) (← links)
- Testing prediction algorithms as null hypotheses: application to assessing the performance of deep neural networks (Q6541555) (← links)
- Bayesian penalized cumulative logit model for high-dimensional data with an ordinal response (Q6627676) (← links)