Addressing cluster-constant covariates in mixed effects models via likelihood-based boosting techniques
- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
-
Online-Ressource
- Sprache
-
Englisch
- Erschienen in
-
In: PLoS ONE 16.7 (2021): e0254178.
- Ereignis
-
Veröffentlichung
- (wo)
-
Erlangen
- (wer)
-
Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU)
- (wann)
-
2021
- Urheber
-
Griesbach, Colin
Groll, Andreas
Bergherr, Elisabeth
- DOI
-
10.1371/journal.pone.0254178
- URN
-
urn:nbn:de:bvb:29-opus4-173330
- Rechteinformation
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
15.08.2025, 07:29 MESZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Beteiligte
- Griesbach, Colin
- Groll, Andreas
- Bergherr, Elisabeth
- Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU)
Entstanden
- 2021
Ähnliche Objekte (12)
Mixed models based on likelihood boosting
Boosting likelihood learning with event reweighting
Addressing bias in bagging and boosting regression models
Allowing for mandatory covariates in boosting estimation of sparse high-dimensional survival models
Statistical power of likelihood ratio and Wald tests in latent class models with covariates
Generalized additive modelling with implicit variable selection by likelihood based boosting
A Full Information Maximum Likelihood Approach to Estimating the Sample Selection Model with Endogenous Covariates
Semiparametric Estimationwith GeneratedCovariates
Semiparametric Estimation with Generated Covariates
Regression discontinuity design with covariates
Semiparametric estimation with generated covariates
Semiparametric estimation with generated covariates
Mixed models based on likelihood boosting
Boosting likelihood learning with event reweighting
Addressing bias in bagging and boosting regression models
Allowing for mandatory covariates in boosting estimation of sparse high-dimensional survival models
Statistical power of likelihood ratio and Wald tests in latent class models with covariates
Generalized additive modelling with implicit variable selection by likelihood based boosting
A Full Information Maximum Likelihood Approach to Estimating the Sample Selection Model with Endogenous Covariates
Semiparametric Estimationwith GeneratedCovariates
Semiparametric Estimation with Generated Covariates
Regression discontinuity design with covariates
Semiparametric estimation with generated covariates
Semiparametric estimation with generated covariates
Mixed models based on likelihood boosting
Boosting likelihood learning with event reweighting
Addressing bias in bagging and boosting regression models
Allowing for mandatory covariates in boosting estimation of sparse high-dimensional survival models
Statistical power of likelihood ratio and Wald tests in latent class models with covariates
Generalized additive modelling with implicit variable selection by likelihood based boosting
A Full Information Maximum Likelihood Approach to Estimating the Sample Selection Model with Endogenous Covariates
Semiparametric Estimationwith GeneratedCovariates
Semiparametric Estimation with Generated Covariates
Regression discontinuity design with covariates
Semiparametric estimation with generated covariates