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A Multi-Constraint Monte Carlo Simulation Approach to Downscaling Cancer Data

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Description
Utilizes the multi-constraint Monte Carlo simulation method to analyze cancer counts in population subgroups from the county level to ZIP Code Tabulation Areas (ZCTAs). Utilizes 2016-2020 Utah Cancer Registry data to show cancer incidence by ZCTA. Discusses the importance of precision in cancer data reporting across the rural-urban continuum.
Author(s)
Lingbo Liu, Lauren Cowan, Fahui Wang, Tracy Onega
Citation
Health & Place, 91, 103411
Date
01/2025
Tagged as
Cancer · Research methods and resources · Statistics and data · Utah