Cumulative Incidence Function Estimation Based on Population-Based Biobank Data
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| Format: | Preprint |
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2024
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| _version_ | 1866916180105625600 |
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| author | Gorfine, Malka Zucker, David M. Shoham, Shoval |
| author_facet | Gorfine, Malka Zucker, David M. Shoham, Shoval |
| contents | 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, $c_L$. |
| format | Preprint |
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arxiv_https___arxiv_org_abs_2403_18464 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Cumulative Incidence Function Estimation Based on Population-Based Biobank Data Gorfine, Malka Zucker, David M. Shoham, Shoval Methodology 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, $c_L$. |
| title | Cumulative Incidence Function Estimation Based on Population-Based Biobank Data |
| topic | Methodology |
| url | https://arxiv.org/abs/2403.18464 |