144 related articles for article (PubMed ID: 35968913)
1. Causal discoveries for high dimensional mixed data.
Cai Z; Xi D; Zhu X; Li R
Stat Med; 2022 Oct; 41(24):4924-4940. PubMed ID: 35968913
[TBL] [Abstract][Full Text] [Related]
2. Estimating causal effects of time-dependent exposures on a binary endpoint in a high-dimensional setting.
Asvatourian V; Coutzac C; Chaput N; Robert C; Michiels S; Lanoy E
BMC Med Res Methodol; 2018 Jul; 18(1):67. PubMed ID: 29969993
[TBL] [Abstract][Full Text] [Related]
3. Causality in linear nongaussian acyclic models in the presence of latent gaussian confounders.
Chen Z; Chan L
Neural Comput; 2013 Jun; 25(6):1605-41. PubMed ID: 23517099
[TBL] [Abstract][Full Text] [Related]
4. An algorithm for direct causal learning of influences on patient outcomes.
Rathnam C; Lee S; Jiang X
Artif Intell Med; 2017 Jan; 75():1-15. PubMed ID: 28363452
[TBL] [Abstract][Full Text] [Related]
5. Nonparametric Causal Structure Learning in High Dimensions.
Chakraborty S; Shojaie A
Entropy (Basel); 2022 Feb; 24(3):. PubMed ID: 35327862
[TBL] [Abstract][Full Text] [Related]
6. Decomposition of variation of mixed variables by a latent mixed Gaussian copula model.
Liu Y; Darville T; Zheng X; Li Q
Biometrics; 2023 Jun; 79(2):1187-1200. PubMed ID: 35304917
[TBL] [Abstract][Full Text] [Related]
7. Causal Discovery in Linear Non-Gaussian Acyclic Model With Multiple Latent Confounders.
Chen W; Cai R; Zhang K; Hao Z
IEEE Trans Neural Netw Learn Syst; 2022 Jul; 33(7):2816-2827. PubMed ID: 33417571
[TBL] [Abstract][Full Text] [Related]
8. Transfer learning in high-dimensional semiparametric graphical models with application to brain connectivity analysis.
He Y; Li Q; Hu Q; Liu L
Stat Med; 2022 Sep; 41(21):4112-4129. PubMed ID: 35728799
[TBL] [Abstract][Full Text] [Related]
9. Developing a novel causal inference algorithm for personalized biomedical causal graph learning using meta machine learning.
Wu H; Shi W; Wang MD
BMC Med Inform Decis Mak; 2024 May; 24(1):137. PubMed ID: 38802809
[TBL] [Abstract][Full Text] [Related]
10. Multiple imputation and test-wise deletion for causal discovery with incomplete cohort data.
Witte J; Foraita R; Didelez V
Stat Med; 2022 Oct; 41(23):4716-4743. PubMed ID: 35908775
[TBL] [Abstract][Full Text] [Related]
11. The search for causality: A comparison of different techniques for causal inference graphs.
Kossakowski JJ; Waldorp LJ; van der Maas HLJ
Psychol Methods; 2021 Dec; 26(6):719-742. PubMed ID: 34323582
[TBL] [Abstract][Full Text] [Related]
12. A Fast PC Algorithm for High Dimensional Causal Discovery with Multi-Core PCs.
Le TD; Hoang T; Li J; Liu L; Liu H; Hu S
IEEE/ACM Trans Comput Biol Bioinform; 2019; 16(5):1483-1495. PubMed ID: 27429444
[TBL] [Abstract][Full Text] [Related]
13. A new insight into underlying disease mechanism through semi-parametric latent differential network model.
He Y; Ji J; Xie L; Zhang X; Xue F
BMC Bioinformatics; 2018 Dec; 19(Suppl 17):493. PubMed ID: 30591011
[TBL] [Abstract][Full Text] [Related]
14. Discovery of genes positively modulating treatment effect using potential outcome framework and Bayesian update.
Lee YK; Kim J; Seo SW
BMC Med Inform Decis Mak; 2022 Apr; 22(1):113. PubMed ID: 35477453
[TBL] [Abstract][Full Text] [Related]
15. A Latent Gaussian Copula Model for Mixed Data Analysis in Brain Imaging Genetics.
Zhang A; Fang J; Hu W; Calhoun VD; Wang YP
IEEE/ACM Trans Comput Biol Bioinform; 2021; 18(4):1350-1360. PubMed ID: 31689199
[TBL] [Abstract][Full Text] [Related]
16. Estimating Finite Mixtures of Ordinal Graphical Models.
Lee KH; Chen Q; DeSarbo WS; Xue L
Psychometrika; 2022 Mar; 87(1):83-106. PubMed ID: 34191228
[TBL] [Abstract][Full Text] [Related]
17. Information enhanced model selection for Gaussian graphical model with application to metabolomic data.
Zhou J; Hoen AG; Mcritchie S; Pathmasiri W; Viles WD; Nguyen QP; Madan JC; Dade E; Karagas MR; Gui J
Biostatistics; 2022 Jul; 23(3):926-948. PubMed ID: 33720330
[TBL] [Abstract][Full Text] [Related]
18. Integrating expert's knowledge constraint of time dependent exposures in structure learning for Bayesian networks.
Asvatourian V; Leray P; Michiels S; Lanoy E
Artif Intell Med; 2020 Jul; 107():101874. PubMed ID: 32828437
[TBL] [Abstract][Full Text] [Related]
19. CauRuler: Causal irredundant association rule miner for complex patient trajectory modelling.
Guillamet GH; Seguí FL; Vidal-Alaball J; López B
Comput Biol Med; 2023 Mar; 155():106636. PubMed ID: 36780801
[TBL] [Abstract][Full Text] [Related]
20. Constraint-based causal discovery with mixed data.
Tsagris M; Borboudakis G; Lagani V; Tsamardinos I
Int J Data Sci Anal; 2018; 6(1):19-30. PubMed ID: 30957008
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]