93 related articles for article (PubMed ID: 27988508)
1. Generalized partial linear varying multi-index coefficient model for gene-environment interactions.
Liu X; Gao B; Cui Y
Stat Appl Genet Mol Biol; 2017 Mar; 16(1):59-74. PubMed ID: 27988508
[TBL] [Abstract][Full Text] [Related]
2. Partial linear varying multi-index coefficient model for integrative gene-environment interactions.
Liu X; Cui Y; Li R
Stat Sin; 2016 Jul; 26():1037-1060. PubMed ID: 27667907
[TBL] [Abstract][Full Text] [Related]
3. Varying coefficient model for gene-environment interaction: a non-linear look.
Ma S; Yang L; Romero R; Cui Y
Bioinformatics; 2011 Aug; 27(15):2119-26. PubMed ID: 21690105
[TBL] [Abstract][Full Text] [Related]
4. A Varying Coefficient Model to Jointly Test Genetic and Gene-Environment Interaction Effects.
Zhou Z; Ku HC; Manning SE; Zhang M; Xing C
Behav Genet; 2023 Jul; 53(4):374-382. PubMed ID: 36622576
[TBL] [Abstract][Full Text] [Related]
5. Polynomial Spline Estimation for A Generalized Additive Coefficient Model.
Xue L; Liang H
Scand Stat Theory Appl; 2009; 37(1):26-46. PubMed ID: 20216928
[TBL] [Abstract][Full Text] [Related]
6. Generalized partially linear single-index model for zero-inflated count data.
Wang X; Zhang J; Yu L; Yin G
Stat Med; 2015 Feb; 34(5):876-86. PubMed ID: 25421596
[TBL] [Abstract][Full Text] [Related]
7. A Nonlinear Model for Gene-Based Gene-Environment Interaction.
Sa J; Liu X; He T; Liu G; Cui Y
Int J Mol Sci; 2016 Jun; 17(6):. PubMed ID: 27271617
[TBL] [Abstract][Full Text] [Related]
8. Semiparametric estimation in generalized linear mixed models with auxiliary covariates: a pairwise likelihood approach.
Liu L; Xiang L
Biometrics; 2014 Dec; 70(4):910-9. PubMed ID: 25251282
[TBL] [Abstract][Full Text] [Related]
9. Composite kernel machine regression based on likelihood ratio test for joint testing of genetic and gene-environment interaction effect.
Zhao N; Zhang H; Clark JJ; Maity A; Wu MC
Biometrics; 2019 Jun; 75(2):625-637. PubMed ID: 30430548
[TBL] [Abstract][Full Text] [Related]
10. Additive varying-coefficient model for nonlinear gene-environment interactions.
Wu C; Zhong PS; Cui Y
Stat Appl Genet Mol Biol; 2018 Feb; 17(2):. PubMed ID: 29420308
[TBL] [Abstract][Full Text] [Related]
11. Penalized Quadratic Inference Function-Based Variable Selection for Generalized Partially Linear Varying Coefficient Models with Longitudinal Data.
Zhang J; Xue L
Comput Math Methods Med; 2020; 2020():3505306. PubMed ID: 33082838
[TBL] [Abstract][Full Text] [Related]
12. A penalized robust semiparametric approach for gene-environment interactions.
Wu C; Shi X; Cui Y; Ma S
Stat Med; 2015 Dec; 34(30):4016-30. PubMed ID: 26239060
[TBL] [Abstract][Full Text] [Related]
13. Semiparametric Bayesian variable selection for gene-environment interactions.
Ren J; Zhou F; Li X; Chen Q; Zhang H; Ma S; Jiang Y; Wu C
Stat Med; 2020 Feb; 39(5):617-638. PubMed ID: 31863500
[TBL] [Abstract][Full Text] [Related]
14. A linear mixed model framework for gene-based gene-environment interaction tests in twin studies.
Coombes BJ; Basu S; McGue M
Genet Epidemiol; 2018 Oct; 42(7):648-663. PubMed ID: 30203856
[TBL] [Abstract][Full Text] [Related]
15. Complete effect-profile assessment in association studies with multiple genetic and multiple environmental factors.
Wang Z; Maity A; Luo Y; Neely ML; Tzeng JY
Genet Epidemiol; 2015 Feb; 39(2):122-33. PubMed ID: 25538034
[TBL] [Abstract][Full Text] [Related]
16. Multivariate partial linear varying coefficients model for gene-environment interactions with multiple longitudinal traits.
Wang H; Zhang J; Klump KL; Alexandra Burt S; Cui Y
Stat Med; 2022 Aug; 41(19):3643-3660. PubMed ID: 35582816
[TBL] [Abstract][Full Text] [Related]
17. A linear mixed-model approach to study multivariate gene-environment interactions.
Moore R; Casale FP; Jan Bonder M; Horta D; ; Franke L; Barroso I; Stegle O
Nat Genet; 2019 Jan; 51(1):180-186. PubMed ID: 30478441
[TBL] [Abstract][Full Text] [Related]
18. Testing for gene-environment interaction under exposure misspecification.
Sun R; Carroll RJ; Christiani DC; Lin X
Biometrics; 2018 Jun; 74(2):653-662. PubMed ID: 29120492
[TBL] [Abstract][Full Text] [Related]
19. A data-smoothing approach to explore and test gene-environment interaction in case-parent trios.
Shin JH; Infante-Rivard C; McNeney B; Graham J
Stat Appl Genet Mol Biol; 2014 Apr; 13(2):159-71. PubMed ID: 24413219
[TBL] [Abstract][Full Text] [Related]
20. Statistical Identification of Gene-gene Interactions Triggered By Nonlinear Environmental Modulation.
Liu X; Wang H; Cui Y
Curr Genomics; 2016 Oct; 17(5):388-395. PubMed ID: 28479867
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
