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 survival. These longitudinal measures are often missing at failure times and may be prone to measurement errors. More importantly, time-dependent survival...
Paper Details
Title
Revisiting methods for modeling longitudinal and survival data: Framingham Heart Study
Published Date
Feb 10, 2021
Volume
21
Issue
1
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