Pages that link to "Item:Q5255597"
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The following pages link to False Discovery Rate Control With Groups (Q5255597):
Displaying 38 items.
- A new approach to multiple testing of grouped hypotheses (Q334304) (← links)
- Single-index modulated multiple testing (Q464181) (← links)
- Adaptive FWER control procedure for grouped hypotheses (Q464466) (← links)
- Controlling mixed directional false discovery rate in multidimensional decisions with applications to microarray studies (Q1616696) (← links)
- A powerful FDR control procedure for multiple hypotheses (Q1659247) (← links)
- On the development of a local FDR-based approach to testing two-way classified hypotheses (Q2047368) (← links)
- Testing and estimation for clustered signals (Q2073225) (← links)
- Local false discovery rate based methods for multiple testing of one-way classified hypotheses (Q2106790) (← links)
- Optimal false discovery rate control for large scale multiple testing with auxiliary information (Q2131256) (← links)
- Controlling the false discovery exceedance for heterogeneous tests (Q2215957) (← links)
- Adapting to one- and two-way classified structures of hypotheses while controlling the false discovery rate (Q2242848) (← links)
- Generalized linear mixed models with Gaussian mixture random effects: inference and application (Q2293384) (← links)
- Adaptive controls of FWER and FDR under block dependence (Q2306243) (← 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)
- Weighted multiple testing procedure for grouped hypotheses with \(k\)-FWER control (Q2418079) (← links)
- Weighted \(p\)-value procedures for controlling FDR of grouped hypotheses (Q2454025) (← links)
- Mixed directional false discovery rate control in multiple pairwise comparisons using weighted<i>p</i>-values (Q2938312) (← links)
- Signal localization: a new approach in signal discovery (Q2956831) (← links)
- Multiple Testing with the Structure-Adaptive Benjamini–Hochberg Algorithm (Q3120100) (← links)
- Weighted False Discovery Rate Control in Large-Scale Multiple Testing (Q4559699) (← links)
- Multiple Testing of Composite Null Hypotheses in Heteroscedastic Models (Q4916504) (← links)
- GAP: A General Framework for Information Pooling in Two-Sample Sparse Inference (Q5120661) (← links)
- An Efficient Morris Method-Based Framework for Simulation Factor Screening (Q5139630) (← links)
- Covariate-Assisted Ranking and Screening for Large-Scale Two-Sample Inference (Q5234400) (← links)
- Covariate Adaptive False Discovery Rate Control With Applications to Omics-Wide Multiple Testing (Q5881095) (← 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)
- Further results on controlling the false discovery rate under some complex grouping structure of hypotheses (Q6076570) (← links)
- Screening-assisted dynamic multiple testing with false discovery rate control (Q6076829) (← links)
- Structure–Adaptive Sequential Testing for Online False Discovery Rate Control (Q6107243) (← links)
- Two-Component Mixture Model in the Presence of Covariates (Q6110703) (← links)
- Change-detection-assisted multiple testing for spatiotemporal data (Q6116899) (← links)
- Online multiple testing with super-uniformity reward (Q6200910) (← links)
- Multiple testing approaches for hypotheses in integrative genomics (Q6601102) (← links)
- A hierarchical testing approach for detecting safety signals in clinical trials (Q6627356) (← links)
- Controlling false discovery proportion in identification of drug-related adverse events from multiple system organ classes (Q6628702) (← links)
- False discovery rate control for lesion-symptom mapping with heterogeneous data via weighted \(p\)-values (Q6649339) (← links)
