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...

Full description

Saved in:

Bibliographic Details
Published in:	Computational and mathematical methods in medicine Vol. 2022; pp. 1 - 12
Main Authors:	Li, Shanpeng, Li, Ning, Wang, Hong, Zhou, Jin, Zhou, Hua, Li, Gang
Format:	Journal Article
Language:	English
Published:	United States Hindawi 08.02.2022
Subjects:	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
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!

Be the first to leave a comment!