144 related articles for article (PubMed ID: 34826371)
1. Gradient boosting for linear mixed models.
Griesbach C; Säfken B; Waldmann E
Int J Biostat; 2021 Jan; 17(2):317-329. PubMed ID: 34826371
[TBL] [Abstract][Full Text] [Related]
2. Addressing cluster-constant covariates in mixed effects models via likelihood-based boosting techniques.
Griesbach C; Groll A; Bergherr E
PLoS One; 2021; 16(7):e0254178. PubMed ID: 34242316
[TBL] [Abstract][Full Text] [Related]
3. Joint Modelling Approaches to Survival Analysis via Likelihood-Based Boosting Techniques.
Griesbach C; Groll A; Bergherr E
Comput Math Methods Med; 2021; 2021():4384035. PubMed ID: 34819988
[TBL] [Abstract][Full Text] [Related]
4. The evolution of boosting algorithms. From machine learning to statistical modelling.
Mayr A; Binder H; Gefeller O; Schmid M
Methods Inf Med; 2014; 53(6):419-27. PubMed ID: 25112367
[TBL] [Abstract][Full Text] [Related]
5. Extending statistical boosting. An overview of recent methodological developments.
Mayr A; Binder H; Gefeller O; Schmid M
Methods Inf Med; 2014; 53(6):428-35. PubMed ID: 25112429
[TBL] [Abstract][Full Text] [Related]
6. Bayesian learners in gradient boosting for linear mixed models.
Zhang B; Griesbach C; Bergherr E
Int J Biostat; 2024 May; 20(1):123-141. PubMed ID: 36473129
[TBL] [Abstract][Full Text] [Related]
7. Gradient Tree Boosting for Hierarchical Data.
Salditt M; Humberg S; Nestler S
Multivariate Behav Res; 2023; 58(5):911-937. PubMed ID: 36602080
[TBL] [Abstract][Full Text] [Related]
8. Flexible boosting of accelerated failure time models.
Schmid M; Hothorn T
BMC Bioinformatics; 2008 Jun; 9():269. PubMed ID: 18538026
[TBL] [Abstract][Full Text] [Related]
9. Regularization for generalized additive mixed models by likelihood-based boosting.
Groll A; Tutz G
Methods Inf Med; 2012; 51(2):168-77. PubMed ID: 22378253
[TBL] [Abstract][Full Text] [Related]
10. Accounting for individual-specific variation in habitat-selection studies: Efficient estimation of mixed-effects models using Bayesian or frequentist computation.
Muff S; Signer J; Fieberg J
J Anim Ecol; 2020 Jan; 89(1):80-92. PubMed ID: 31454066
[TBL] [Abstract][Full Text] [Related]
11. 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]
12. The importance of knowing when to stop. A sequential stopping rule for component-wise gradient boosting.
Mayr A; Hofner B; Schmid M
Methods Inf Med; 2012; 51(2):178-86. PubMed ID: 22344292
[TBL] [Abstract][Full Text] [Related]
13. Boosting the discriminatory power of sparse survival models via optimization of the concordance index and stability selection.
Mayr A; Hofner B; Schmid M
BMC Bioinformatics; 2016 Jul; 17():288. PubMed ID: 27444890
[TBL] [Abstract][Full Text] [Related]
14. Boosting distributional copula regression.
Hans N; Klein N; Faschingbauer F; Schneider M; Mayr A
Biometrics; 2023 Sep; 79(3):2298-2310. PubMed ID: 36165288
[TBL] [Abstract][Full Text] [Related]
15. Randomized boosting with multivariable base-learners for high-dimensional variable selection and prediction.
Staerk C; Mayr A
BMC Bioinformatics; 2021 Sep; 22(1):441. PubMed ID: 34530737
[TBL] [Abstract][Full Text] [Related]
16. Boosting - an unusual yet attractive optimiser.
Hothorn T
Methods Inf Med; 2014; 53(6):417-8. PubMed ID: 25450534
[TBL] [Abstract][Full Text] [Related]
17. Meta-analysis of binary outcomes via generalized linear mixed models: a simulation study.
Bakbergenuly I; Kulinskaya E
BMC Med Res Methodol; 2018 Jul; 18(1):70. PubMed ID: 29973146
[TBL] [Abstract][Full Text] [Related]
18. An assessment of estimation methods for generalized linear mixed models with binary outcomes.
Capanu M; Gönen M; Begg CB
Stat Med; 2013 Nov; 32(26):4550-66. PubMed ID: 23839712
[TBL] [Abstract][Full Text] [Related]
19. Stochastic approximation boosting for incomplete data problems.
Sexton J; Laake P
Biometrics; 2009 Dec; 65(4):1156-63. PubMed ID: 19432768
[TBL] [Abstract][Full Text] [Related]
20. A boosting approach to flexible semiparametric mixed models.
Tutz G; Reithinger F
Stat Med; 2007 Jun; 26(14):2872-900. PubMed ID: 17133647
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
