A comparison of statistical methods to predict the residual lifetime risk

Lifetime risk measures the cumulative risk for developing a disease over one’s lifespan. Modeling the lifetime risk must account for left truncation, the competing risk of death, and inference at a fixed age. In addition, statistical methods to predict the lifetime risk should account for covariate-...

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Bibliographic Details
Published in:	European journal of epidemiology Vol. 37; no. 2; pp. 173 - 194
Main Authors:	Conner, Sarah C., Beiser, Alexa, Benjamin, Emelia J., LaValley, Michael P., Larson, Martin G., Trinquart, Ludovic
Format:	Journal Article
Language:	English
Published:	Dordrecht Springer Netherlands 01.02.2022 Springer Nature B.V
Subjects:	Age Atrial Fibrillation - epidemiology Bias Cardiology Computer Simulation Epidemiology Fibrillation Generalized linear models Humans Incidence Infectious Diseases Life span Medicine Medicine & Public Health Methods Models, Statistical Oncology Proportional Hazards Models Public Health Risk Statistical inference Statistical methods Statistical models Statistics Survival Analysis Cumulative incidence Left truncation Survival analysis Competing risks Time-to-event data Lifetime risk
ISSN:	0393-2990, 1573-7284, 1573-7284
Online Access:	Get full text
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