Efficient Algorithms and Implementation of a Semiparametric Joint Model for Longitudinal and Competing Risk Data: With Applications to Massive Biobank Data

Semiparametric joint models of longitudinal and competing risk data are computationally costly, and their current implementations do not scale well to massive biobank data. This paper identifies and addresses some key computational barriers in a semiparametric joint model for longitudinal and compet...

Celý popis

Uložené v:

Podrobná bibliografia
Vydané v:	Computational and mathematical methods in medicine Ročník 2022; s. 1 - 12
Hlavní autori:	Li, Shanpeng, Li, Ning, Wang, Hong, Zhou, Jin, Zhou, Hua, Li, Gang
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	United States Hindawi 08.02.2022
Predmet:	Algorithms Biological Specimen Banks - statistics & numerical data Bronchodilator Agents - therapeutic use Computational Biology Computer Simulation Data Interpretation, Statistical Disease Progression Humans Longitudinal Studies Models, Statistical Primary Health Care - statistics & numerical data Pulmonary Disease, Chronic Obstructive - physiopathology Pulmonary Disease, Chronic Obstructive - therapy Risk Assessment Smoking Cessation - statistics & numerical data Software
ISSN:	1748-670X, 1748-6718, 1748-6718
On-line prístup:	Získať plný text
Tagy:	Pridať tag Žiadne tagy, Buďte prvý, kto otaguje tento záznam!

Buďte prvý, kto okomentuje tento záznam!