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

Semiparametric joint models of longitudinal and competing risks 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

Bibliographic Details

Published in:	arXiv.org
Main Authors:	Li, Shanpeng, Li, Ning, Wang, Hong, Zhou, Jin, Zhou, Hua, Li, Gang
Format:	Paper
Language:	English
Published:	Ithaca Cornell University Library, arXiv.org 08.02.2022
Subjects:	Algorithms Biobanks Numerical integration Run time (computers) Standard error
ISSN:	2331-8422
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!