138 related articles for article (PubMed ID: 35428983)
1. Model-based clustering of high-dimensional longitudinal data via regularization.
Yang L; Wu TT
Biometrics; 2023 Jun; 79(2):761-774. PubMed ID: 35428983
[TBL] [Abstract][Full Text] [Related]
2. Folic acid supplementation and malaria susceptibility and severity among people taking antifolate antimalarial drugs in endemic areas.
Crider K; Williams J; Qi YP; Gutman J; Yeung L; Mai C; Finkelstain J; Mehta S; Pons-Duran C; Menéndez C; Moraleda C; Rogers L; Daniels K; Green P
Cochrane Database Syst Rev; 2022 Feb; 2(2022):. PubMed ID: 36321557
[TBL] [Abstract][Full Text] [Related]
3. Variable selection for joint models of multivariate skew-normal longitudinal and survival data.
Tang J; Tang AM; Tang N
Stat Methods Med Res; 2023 Sep; 32(9):1694-1710. PubMed ID: 37408456
[TBL] [Abstract][Full Text] [Related]
4. A joint finite mixture model for clustering genes from independent Gaussian and beta distributed data.
Dai X; Erkkilä T; Yli-Harja O; Lähdesmäki H
BMC Bioinformatics; 2009 May; 10():165. PubMed ID: 19480678
[TBL] [Abstract][Full Text] [Related]
5. Clustering in linear-mixed models with a group fused lasso penalty.
Heinzl F; Tutz G
Biom J; 2014 Jan; 56(1):44-68. PubMed ID: 24249100
[TBL] [Abstract][Full Text] [Related]
6. Joint variable selection for fixed and random effects in linear mixed-effects models.
Bondell HD; Krishna A; Ghosh SK
Biometrics; 2010 Dec; 66(4):1069-77. PubMed ID: 20163404
[TBL] [Abstract][Full Text] [Related]
7. Performance Evaluation of Missing-Value Imputation Clustering Based on a Multivariate Gaussian Mixture Model.
Xiao J; Xu Q; Wu C; Gao Y; Hua T; Xu C
PLoS One; 2016; 11(8):e0161112. PubMed ID: 27552203
[TBL] [Abstract][Full Text] [Related]
8. Regularized parameter estimation in high-dimensional gaussian mixture models.
Ruan L; Yuan M; Zou H
Neural Comput; 2011 Jun; 23(6):1605-22. PubMed ID: 21395439
[TBL] [Abstract][Full Text] [Related]
9. The impact of ordinal scales on Gaussian mixture recovery.
Haslbeck JMB; Vermunt JK; Waldorp LJ
Behav Res Methods; 2023 Jun; 55(4):2143-2156. PubMed ID: 35831565
[TBL] [Abstract][Full Text] [Related]
10. The effective sample size in Bayesian information criterion for level-specific fixed and random-effect selection in a two-level nested model.
Cho SJ; Wu H; Naveiras M
Br J Math Stat Psychol; 2024 May; 77(2):289-315. PubMed ID: 38591555
[TBL] [Abstract][Full Text] [Related]
11. Doubly regularized estimation and selection in linear mixed-effects models for high-dimensional longitudinal data.
Li Y; Wang S; Song PX; Wang N; Zhou L; Zhu J
Stat Interface; 2018; 11(4):721-737. PubMed ID: 30510614
[TBL] [Abstract][Full Text] [Related]
12. Variable selection for semiparametric mixed models in longitudinal studies.
Ni X; Zhang D; Zhang HH
Biometrics; 2010 Mar; 66(1):79-88. PubMed ID: 19397585
[TBL] [Abstract][Full Text] [Related]
13. A sparse negative binomial mixture model for clustering RNA-seq count data.
Li Y; Rahman T; Ma T; Tang L; Tseng GC
Biostatistics; 2022 Dec; 24(1):68-84. PubMed ID: 34363675
[TBL] [Abstract][Full Text] [Related]
14. Bayesian information criterion for longitudinal and clustered data.
Jones RH
Stat Med; 2011 Nov; 30(25):3050-6. PubMed ID: 21805487
[TBL] [Abstract][Full Text] [Related]
15. A batch rival penalized expectation-maximization algorithm for Gaussian mixture clustering with automatic model selection.
Wen J; Zhang D; Cheung YM; Liu H; You X
Comput Math Methods Med; 2012; 2012():425730. PubMed ID: 22400050
[TBL] [Abstract][Full Text] [Related]
16. Bayesian regularization for a nonstationary Gaussian linear mixed effects model.
Gecili E; Sivaganesan S; Asar O; Clancy JP; Ziady A; Szczesniak RD
Stat Med; 2022 Feb; 41(4):681-697. PubMed ID: 34897771
[TBL] [Abstract][Full Text] [Related]
17. Simultaneous variable selection and estimation for survival data via the Gaussian seamless-
Liu Z; Wang H
Stat Med; 2024 Apr; 43(8):1509-1526. PubMed ID: 38320545
[TBL] [Abstract][Full Text] [Related]
18. On Penalty Parameter Selection for Estimating Network Models.
Wysocki AC; Rhemtulla M
Multivariate Behav Res; 2021; 56(2):288-302. PubMed ID: 31672065
[TBL] [Abstract][Full Text] [Related]
19. Classification of longitudinal data through a semiparametric mixed-effects model based on lasso-type estimators.
Arribas-Gil A; De la Cruz R; Lebarbier E; Meza C
Biometrics; 2015 Jun; 71(2):333-43. PubMed ID: 25639332
[TBL] [Abstract][Full Text] [Related]
20. Robust clustering using exponential power mixtures.
Zhang J; Liang F
Biometrics; 2010 Dec; 66(4):1078-86. PubMed ID: 20163406
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
