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.
152 related articles for article (PubMed ID: 36510128)
1. llperm: a permutation of regressor residuals test for microbiome data. Viljanen M; Boshuizen H BMC Bioinformatics; 2022 Dec; 23(1):540. PubMed ID: 36510128 [TBL] [Abstract][Full Text] [Related]
2. Randomized quantile residuals for diagnosing zero-inflated generalized linear mixed models with applications to microbiome count data. Bai W; Dong M; Li L; Feng C; Xu W BMC Bioinformatics; 2021 Nov; 22(1):564. PubMed ID: 34823466 [TBL] [Abstract][Full Text] [Related]
3. Powerful and robust non-parametric association testing for microbiome data via a zero-inflated quantile approach (ZINQ). Ling W; Zhao N; Plantinga AM; Launer LJ; Fodor AA; Meyer KA; Wu MC Microbiome; 2021 Sep; 9(1):181. PubMed ID: 34474689 [TBL] [Abstract][Full Text] [Related]
4. A flexible quasi-likelihood model for microbiome abundance count data. Shi Y; Li H; Wang C; Chen J; Jiang H; Shih YT; Zhang H; Song Y; Feng Y; Liu L Stat Med; 2023 Nov; 42(25):4632-4643. PubMed ID: 37607718 [TBL] [Abstract][Full Text] [Related]
5. Permutation-based variance component test in generalized linear mixed model with application to multilocus genetic association study. Zeng P; Zhao Y; Li H; Wang T; Chen F BMC Med Res Methodol; 2015 Apr; 15():37. PubMed ID: 25897803 [TBL] [Abstract][Full Text] [Related]
6. A novel normalization and differential abundance test framework for microbiome data. Ma Y; Luo Y; Jiang H Bioinformatics; 2020 Jul; 36(13):3959-3965. PubMed ID: 32311021 [TBL] [Abstract][Full Text] [Related]
7. Testing hypotheses about the microbiome using the linear decomposition model (LDM). Hu YJ; Satten GA Bioinformatics; 2020 Aug; 36(14):4106-4115. PubMed ID: 32315393 [TBL] [Abstract][Full Text] [Related]
8. A comprehensive evaluation of microbial differential abundance analysis methods: current status and potential solutions. Yang L; Chen J Microbiome; 2022 Aug; 10(1):130. PubMed ID: 35986393 [TBL] [Abstract][Full Text] [Related]
9. A permutation test for inference in logistic regression with small- and moderate-sized data sets. Potter DM Stat Med; 2005 Mar; 24(5):693-708. PubMed ID: 15515134 [TBL] [Abstract][Full Text] [Related]
10. An integrative Bayesian Dirichlet-multinomial regression model for the analysis of taxonomic abundances in microbiome data. Wadsworth WD; Argiento R; Guindani M; Galloway-Pena J; Shelburne SA; Vannucci M BMC Bioinformatics; 2017 Feb; 18(1):94. PubMed ID: 28178947 [TBL] [Abstract][Full Text] [Related]
11. Likelihood-based hypothesis tests for brain activation detection from MRI data disturbed by colored noise: a simulation study. den Dekker AJ; Poot DH; Bos R; Sijbers J IEEE Trans Med Imaging; 2009 Feb; 28(2):287-96. PubMed ID: 19188115 [TBL] [Abstract][Full Text] [Related]
12. Permutation tests for random effects in linear mixed models. Lee OE; Braun TM Biometrics; 2012 Jun; 68(2):486-93. PubMed ID: 21950470 [TBL] [Abstract][Full Text] [Related]
13. PERFect: PERmutation Filtering test for microbiome data. Smirnova E; Huzurbazar S; Jafari F Biostatistics; 2019 Oct; 20(4):615-631. PubMed ID: 29917060 [TBL] [Abstract][Full Text] [Related]
14. ProgPerm: Progressive permutation for a dynamic representation of the robustness of microbiome discoveries. Zhang L; Shi Y; Do KA; Peterson CB; Jenq RR BMC Bioinformatics; 2021 Mar; 22(1):126. PubMed ID: 33731016 [TBL] [Abstract][Full Text] [Related]
15. Testing microbiome associations with survival times at both the community and individual taxon levels. Hu Y; Li Y; Satten GA; Hu YJ PLoS Comput Biol; 2022 Sep; 18(9):e1010509. PubMed ID: 36103548 [TBL] [Abstract][Full Text] [Related]
16. Constraining PERMANOVA and LDM to within-set comparisons by projection improves the efficiency of analyses of matched sets of microbiome data. Zhu Z; Satten GA; Mitchell C; Hu YJ Microbiome; 2021 Jun; 9(1):133. PubMed ID: 34108046 [TBL] [Abstract][Full Text] [Related]
17. A comparison of residual diagnosis tools for diagnosing regression models for count data. Feng C; Li L; Sadeghpour A BMC Med Res Methodol; 2020 Jul; 20(1):175. PubMed ID: 32611379 [TBL] [Abstract][Full Text] [Related]
18. Permutation Tests for Assessing Potential Non-Linear Associations between Treatment Use and Multivariate Clinical Outcomes. Ren B; Lipsitz SR; Fitzmaurice GM; Weiss RD Multivariate Behav Res; 2024; 59(1):110-122. PubMed ID: 37379399 [TBL] [Abstract][Full Text] [Related]
19. An Adaptive Multivariate Two-Sample Test With Application to Microbiome Differential Abundance Analysis. Banerjee K; Zhao N; Srinivasan A; Xue L; Hicks SD; Middleton FA; Wu R; Zhan X Front Genet; 2019; 10():350. PubMed ID: 31068967 [TBL] [Abstract][Full Text] [Related]
20. LOCOM: A logistic regression model for testing differential abundance in compositional microbiome data with false discovery rate control. Hu Y; Satten GA; Hu YJ Proc Natl Acad Sci U S A; 2022 Jul; 119(30):e2122788119. PubMed ID: 35867822 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]