Data gaps and opportunities for modeling cancer health equity

Abstract Population models of cancer reflect the overall US population by drawing on numerous existing data resources for parameter inputs and calibration targets. Models require data inputs that are appropriately representative, collected in a harmonized manner, have minimal missing or inaccurate v...

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Veröffentlicht in:Journal of the National Cancer Institute. Monographs 2023-11, Vol.2023 (62), p.246-254
Hauptverfasser: Trentham-Dietz, Amy, Corley, Douglas A, Del Vecchio, Natalie J, Greenlee, Robert T, Haas, Jennifer S, Hubbard, Rebecca A, Hughes, Amy E, Kim, Jane J, Kobrin, Sarah, Li, Christopher I, Meza, Rafael, Neslund-Dudas, Christine M, Tiro, Jasmin A
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Sprache:eng
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