Revisiting methods for modeling longitudinal and survival data: Framingham Heart Study

Revisiting methods for modeling longitudinal and survival data: Framingham Heart Study

Abstract Background Statistical methods for modeling longitudinal and time-to-event data has received much attention in medical research and is becoming increasingly useful. In clinical studies, such as cancer and AIDS, longitudinal biomarkers are used to monitor disease progression and to predict s...

Full description

Bibliographic Details
Main Authors: Julius S. Ngwa, Howard J. Cabral, Debbie M. Cheng, David R. Gagnon, Michael P. LaValley, L. Adrienne Cupples
Format: Article
Language:English
Published: BMC 2021-02-01
Series:BMC Medical Research Methodology
Subjects:
Joint longitudinal and survival model
Cox model
Two-step approach
Mixed effect modeling
Time dependent covariate models
Weibull distribution
Online Access:https://doi.org/10.1186/s12874-021-01207-y

Similar Items

Similar Items