Pages that link to "Item:Q4367884"
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The following pages link to Multiple Hypotheses Testing with Weights (Q4367884):
Displaying 50 items.
- Graphical approaches for multiple comparison procedures using weighted Bonferroni, Simes, or parametric tests (Q98256) (← links)
- False Discovery Rate Control Under General Dependence By Symmetrized Data Aggregation (Q139626) (← links)
- Comparing five statistical methods of differential methylation identification using bisulfite sequencing data (Q306686) (← links)
- Scan statistic tail probability assessment based on process covariance and window size (Q340117) (← links)
- Floating prioritized subset analysis: A powerful method to detect differentially expressed genes (Q452717) (← links)
- Hunting for significance: Bayesian classifiers under a mixture loss function (Q460651) (← links)
- Single-index modulated multiple testing (Q464181) (← links)
- Adaptive FWER control procedure for grouped hypotheses (Q464466) (← links)
- Object detection in multi-epoch data (Q713849) (← links)
- A new user specific multiple testing method for business applications: the SiMaFlex procedure (Q830741) (← links)
- Capturing the severity of type II errors in high-dimensional multiple testing (Q893171) (← links)
- Comment: ``Microarrays, empirical Bayes and the two-groups model'' (Q900481) (← links)
- Genome-wide significance levels and weighted hypothesis testing (Q908107) (← links)
- Tree-structured smooth transition regression models (Q1023576) (← links)
- Controlling mixed directional false discovery rate in multidimensional decisions with applications to microarray studies (Q1616696) (← links)
- Nonstationary-volatility robust panel unit root tests and the great moderation (Q1621963) (← links)
- A powerful FDR control procedure for multiple hypotheses (Q1659247) (← links)
- Procedures for testing multiple endpoints in clinical trials: an overview (Q1818602) (← links)
- A note about a curious generalization of Simes' theorem. (Q1818609) (← links)
- Bayesian perspectives on multiple comparisons. (Q1818615) (← links)
- The control of the false discovery rate in multiple testing under dependency. (Q1848902) (← links)
- Two simple sufficient conditions for FDR control (Q1951782) (← links)
- Conditional calibration for false discovery rate control under dependence (Q2112799) (← links)
- A comprehensive error rate for multiple testing (Q2208400) (← links)
- A tutorial on statistically sound pattern discovery (Q2218330) (← links)
- Adapting to one- and two-way classified structures of hypotheses while controlling the false discovery rate (Q2242848) (← links)
- Fire seasonality identification with multimodality tests (Q2291503) (← links)
- Adaptive \(p\)-value weighting with power optimality (Q2326061) (← links)
- A unified treatment of multiple testing with prior knowledge using the p-filter (Q2328060) (← links)
- Testing over a continuum of null hypotheses with false discovery rate control (Q2444670) (← links)
- Weighted \(p\)-value procedures for controlling FDR of grouped hypotheses (Q2454025) (← links)
- FDR- and FWE-controlling methods using data-driven weights (Q2455408) (← links)
- False discovery rate for functional data (Q2666072) (← links)
- Testing partial conjunction hypotheses under dependency, with applications to meta-analysis (Q2683185) (← links)
- A decision theoretic approach to optimization of multiple testing procedures (Q2938307) (← links)
- Simultaneous and selective inference: Current successes and future challenges (Q3076073) (← links)
- Multiplicity-calibrated Bayesian hypothesis tests (Q3303560) (← links)
- Selective inference in complex research (Q3559945) (← links)
- A review of modern multiple hypothesis testing, with particular attention to the false discovery proportion (Q3597112) (← links)
- Weighted False Discovery Rate Control in Large-Scale Multiple Testing (Q4559699) (← links)
- Different weights of tests within a start‐up demonstration procedure (Q4628719) (← links)
- Multiple Testing of Composite Null Hypotheses in Heteroscedastic Models (Q4916504) (← links)
- A simple data-driven fallback procedure for multiple comparisons (Q5078530) (← links)
- Covariate Powered Cross-Weighted Multiple Testing (Q5087411) (← links)
- Covariate-Assisted Ranking and Screening for Large-Scale Two-Sample Inference (Q5234400) (← links)
- Some Results on the Control of the False Discovery Rate under Dependence (Q5430580) (← links)
- Weighted methods controlling the multiplicity when the number of variables is much higher than the number of observations (Q5478903) (← links)
- Testing multiple hypotheses with skewed alternatives (Q5739275) (← links)
- LAWS: A Locally Adaptive Weighting and Screening Approach to Spatial Multiple Testing (Q5881141) (← links)
- Heteroscedasticity-Adjusted Ranking and Thresholding for Large-Scale Multiple Testing (Q5885127) (← links)
