Statistical models versus machine learning for competing risks: development and validation of prognostic models
- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
-
Online-Ressource
- Sprache
-
Englisch
- Anmerkungen
-
online resource.
- Erschienen in
-
Statistical models versus machine learning for competing risks: development and validation of prognostic models ; volume:23 ; number:1 ; day:24 ; month:2 ; year:2023 ; pages:1-14 ; date:12.2023
BMC medical research methodology ; 23, Heft 1 (24.2.2023), 1-14, 12.2023
- Urheber
-
Kantidakis, Georgios
Putter, Hein
Litière, Saskia
Fiocco, Marta
- Beteiligte Personen und Organisationen
-
SpringerLink (Online service)
- DOI
-
10.1186/s12874-023-01866-z
- URN
-
urn:nbn:de:101:1-2023062521051839701854
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
14.08.2025, 10:58 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
- Kantidakis, Georgios
- Putter, Hein
- Litière, Saskia
- Fiocco, Marta
- SpringerLink (Online service)
Ähnliche Objekte (12)
Competing risks models
Competing risks model and copula
Statistical analysis of dependent competing risks model from Gompertz distribution under progressively hybrid censoring
Penalized weigted competing risks models based on quantile regression
Nonparametric identification of accelerated failure time competing risks models
Weighted Competing Risks Quantile Regression Models and Variable Selection
Nonparametric identification of dynamic treatment effects in competing risks models
A review on statistical and machine learning competing risks methods
A competing risks model with time-varying heterogeneity and simultaneous failure
Nonparametric Estimation of a Dependent Competing Risks Model for Unemployment Durations
Phase-type models for competing risks, with emphasis on identifiability issues
Jointly Rayleigh lifetime products in the presence of competing risks model
Competing risks models
Competing risks model and copula
Statistical analysis of dependent competing risks model from Gompertz distribution under progressively hybrid censoring
Penalized weigted competing risks models based on quantile regression
Nonparametric identification of accelerated failure time competing risks models
Weighted Competing Risks Quantile Regression Models and Variable Selection
Nonparametric identification of dynamic treatment effects in competing risks models
A review on statistical and machine learning competing risks methods
A competing risks model with time-varying heterogeneity and simultaneous failure
Nonparametric Estimation of a Dependent Competing Risks Model for Unemployment Durations
Phase-type models for competing risks, with emphasis on identifiability issues
Jointly Rayleigh lifetime products in the presence of competing risks model
Competing risks models
Competing risks model and copula
Statistical analysis of dependent competing risks model from Gompertz distribution under progressively hybrid censoring
Penalized weigted competing risks models based on quantile regression
Nonparametric identification of accelerated failure time competing risks models
Weighted Competing Risks Quantile Regression Models and Variable Selection
Nonparametric identification of dynamic treatment effects in competing risks models
A review on statistical and machine learning competing risks methods
A competing risks model with time-varying heterogeneity and simultaneous failure
Nonparametric Estimation of a Dependent Competing Risks Model for Unemployment Durations
Phase-type models for competing risks, with emphasis on identifiability issues