Cumulative Incidence Function Estimation Based on Population-Based Biobank Data

Malka Gorfine; David M. Zucker; Shoval Shoham

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arXiv · 2403.18464

Cumulative Incidence Function Estimation Based on Population-Based Biobank Data

Malka Gorfine·David M. Zucker·Shoval Shoham

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Abstract

Many countries have established population-based biobanks, which are being used increasingly in epidemiolgical and clinical research. These biobanks offer opportunities for large-scale studies addressing questions beyond the scope of traditional clinical trials or cohort studies. However, using biobank data poses new challenges. Typically, biobank data is collected from a study cohort recruited over a defined calendar period, with subjects entering the study at various ages falling between $c_L$ and $c_U$. This work focuses on biobank data with individuals reporting disease-onset age upon recruitment, termed prevalent data, along with individuals initially recruited as healthy, and their disease onset observed during the follow-up period. We propose a novel cumulative incidence function (CIF) estimator that efficiently incorporates prevalent cases, in contrast to existing methods, providing two advantages: (1) increased efficiency, and (2) CIF estimation for ages before the lower limit, $c_L$.

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Malka Gorfine, David M. Zucker, Shoval Shoham. 2024-03-27. Cumulative Incidence Function Estimation Based on Population-Based Biobank Data. https://arxiv.org/abs/2403.18464

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