Robust Dynamic Risk Prediction with Longitudinal Studies.

ABSTRACT: Providing accurate and dynamic age-specific risk prediction is a crucial step in precision medicine. In this manuscript, we introduce an approach for estimating the τ-year age-specific absolute risk directly via a flexible varying coefficient model. The approach facilitates the utilization of predictors varying over an individual's lifetime. By using a nonparametric inverse probability weighted kernel estimating equation, the age-specific effects of risk factors are estimated without requiring the specification of the functional form. The approach allows borrowing information across individuals of similar ages, and therefore provides a practical solution for situations where the longitudinal information is only measured sparsely. We evaluate the performance of the proposed estimation and i

SUBMITTER: Zhou QM 

PROVIDER: S-EPMC5766050 | biostudies-literature | 2017

REPOSITORIES: biostudies-literature