These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
115 related articles for article (PubMed ID: 38356198)
1. Estimating the proportion of true null hypotheses and adaptive false discovery rate control in discrete paradigm. Biswas A; Chattopadhyay G Biom J; 2024 Mar; 66(2):e2200204. PubMed ID: 38356198 [TBL] [Abstract][Full Text] [Related]
2. Multiple testing with discrete data: Proportion of true null hypotheses and two adaptive FDR procedures. Chen X; Doerge RW; Heyse JF Biom J; 2018 Jul; 60(4):761-779. PubMed ID: 29748972 [TBL] [Abstract][Full Text] [Related]
3. Bon-EV: an improved multiple testing procedure for controlling false discovery rates. Li D; Xie Z; Zand M; Fogg T; Dye T BMC Bioinformatics; 2017 Jan; 18(1):1. PubMed ID: 28049414 [TBL] [Abstract][Full Text] [Related]
4. A weighted FDR procedure under discrete and heterogeneous null distributions. Chen X; Doerge RW; Sarkar SK Biom J; 2020 Oct; 62(6):1544-1563. PubMed ID: 32367597 [TBL] [Abstract][Full Text] [Related]
5. Estimation of the proportion of true null hypotheses under sparse dependence: Adaptive FDR controlling in microarray data. Biswas A; Chakraborty S; Baruah VJ Stat Methods Med Res; 2022 May; 31(5):917-927. PubMed ID: 35133933 [TBL] [Abstract][Full Text] [Related]
6. Bias and variance reduction in estimating the proportion of true-null hypotheses. Cheng Y; Gao D; Tong T Biostatistics; 2015 Jan; 16(1):189-204. PubMed ID: 24963010 [TBL] [Abstract][Full Text] [Related]
7. Effects of dependence in high-dimensional multiple testing problems. Kim KI; van de Wiel MA BMC Bioinformatics; 2008 Feb; 9():114. PubMed ID: 18298808 [TBL] [Abstract][Full Text] [Related]
8. A direct approach to estimating false discovery rates conditional on covariates. Boca SM; Leek JT PeerJ; 2018; 6():e6035. PubMed ID: 30581661 [TBL] [Abstract][Full Text] [Related]
9. Comparison of methods for estimating the number of true null hypotheses in multiplicity testing. Hsueh HM; Chen JJ; Kodell RL J Biopharm Stat; 2003 Nov; 13(4):675-89. PubMed ID: 14584715 [TBL] [Abstract][Full Text] [Related]
10. POWER-ENHANCED MULTIPLE DECISION FUNCTIONS CONTROLLING FAMILY-WISE ERROR AND FALSE DISCOVERY RATES. Peña EA; Habiger JD; Wu W Ann Stat; 2011 Feb; 39(1):556-583. PubMed ID: 25018568 [TBL] [Abstract][Full Text] [Related]
11. False Discovery Rate Control With Groups. Hu JX; Zhao H; Zhou HH J Am Stat Assoc; 2010 Sep; 105(491):1215-1227. PubMed ID: 21931466 [TBL] [Abstract][Full Text] [Related]
12. Minimally adaptive BH: A tiny but uniform improvement of the procedure of Benjamini and Hochberg. Solari A; Goeman JJ Biom J; 2017 Jul; 59(4):776-780. PubMed ID: 27192178 [TBL] [Abstract][Full Text] [Related]
13. Paradoxical results of adaptive false discovery rate procedures in neuroimaging studies. Reiss PT; Schwartzman A; Lu F; Huang L; Proal E Neuroimage; 2012 Dec; 63(4):1833-40. PubMed ID: 22842214 [TBL] [Abstract][Full Text] [Related]
14. SOME STEP-DOWN PROCEDURES CONTROLLING THE FALSE DISCOVERY RATE UNDER DEPENDENCE. Ge Y; Sealfon SC; Speed TP Stat Sin; 2008; 18(3):881-904. PubMed ID: 19018297 [TBL] [Abstract][Full Text] [Related]
15. Bias-corrected estimators for proportion of true null hypotheses: application of adaptive FDR-controlling in segmented failure data. Biswas A; Chattopadhyay G; Chatterjee A J Appl Stat; 2022; 49(14):3591-3613. PubMed ID: 36246854 [TBL] [Abstract][Full Text] [Related]
16. Resampling-based empirical Bayes multiple testing procedures for controlling generalized tail probability and expected value error rates: focus on the false discovery rate and simulation study. Dudoit S; Gilbert HN; van der Laan MJ Biom J; 2008 Oct; 50(5):716-44. PubMed ID: 18932138 [TBL] [Abstract][Full Text] [Related]
17. False discovery rate control for multiple testing based on discrete p-values. Chen X Biom J; 2020 Jul; 62(4):1060-1079. PubMed ID: 31958180 [TBL] [Abstract][Full Text] [Related]
18. Adjusting for gene-specific covariates to improve RNA-seq analysis. Jeon H; Lim KS; Nguyen Y; Nettleton D Bioinformatics; 2023 Aug; 39(8):. PubMed ID: 37589589 [TBL] [Abstract][Full Text] [Related]
19. Estimating the proportion of true null hypotheses for multiple comparisons. Jiang H; Doerge RW Cancer Inform; 2008; 6():25-32. PubMed ID: 19259400 [TBL] [Abstract][Full Text] [Related]
20. Towards accurate estimation of the proportion of true null hypotheses in multiple testing. Zhang SD PLoS One; 2011 Apr; 6(4):e18874. PubMed ID: 21526119 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]