Related Experiment Video
Updated: Nov 28, 2025

Establishing a Competing Risk Regression Nomogram Model for Survival Data
Published on: October 23, 2020
Time-to-event modeling of hypertension reveals the nonexistence of true controls
Daniel Shriner1, Amy R Bentley1, Jie Zhou1
1Center for Research on Genomics and Global Health, National Human Genome Research Institute, Bethesda, United States.
Abstract:
Given a lifetime risk of ~90% by the ninth decade of life, it is unknown if there are true controls for hypertension in epidemiological and genetic studies. Here, we compared Bayesian logistic and time-to-event approaches to modeling hypertension. The median age at hypertension was approximately a decade earlier in African Americans than in European Americans or Mexican Americans. The probability of being free of hypertension at 85 years of age in African Americans was less than half that in European Americans or Mexican Americans. In all groups, baseline hazard rates increased until nearly 60 years of age and then decreased but did not reach zero. Taken together, modeling of the baseline hazard function of hypertension suggests that there are no true controls and that controls in logistic regression are cases with a late age of onset.
More Related Videos
05:16Cutoff Value of Phase Angle by Bioelectrical Impedance Analysis at Admission as a Prognostic Factor in Patients with Acute Heart Failure
Published on: June 10, 2025
07:13A Rat Model of Pressure Overload Induced Moderate Remodeling and Systolic Dysfunction as Opposed to Overt Systolic Heart Failure
Published on: April 30, 2020
Related Concept Videos
Assumptions of Survival Analysis
Model-Independent Approaches for Pharmacokinetic Data: Noncompartmental Analysis
One important characteristic of noncompartmental analyses is that drug exposure increases proportionally with increasing doses. This...
Hypertension and Regulation of Blood Pressure
Censoring Survival Data
Hypertension III: Clinical Manifestations and Diagnostic Studies
Hypertension II: Pathophysiology