利用贝叶斯广义共享成分模型创建影响澳大利亚癌症行为的地区指数

IF 3.8 2区医学 Q1 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH

Health & Place Pub Date : 2024-06-19 DOI:10.1016/j.healthplace.2024.103295

James Hogg , Susanna Cramb , Jessica Cameron , Peter Baade , Kerrie Mengersen

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引用次数: 0

摘要

本研究借鉴了大量因子模型，开发了一种基于模型的指数方法，称为广义共享成分模型（GSCM）。所提出的完全贝叶斯方法可容纳异方差模型误差、多个共享因子和灵活的空间先验。此外，与以往的指数方法不同，我们的模型提供了具有不确定性的指数。以增加癌症风险的不健康行为为重点，所提出的 GSCM 被用于开发影响癌症的行为地区指数产品，这是澳大利亚首个地区级癌症风险因素指数。这一进步有助于确定癌症风险较高的社区，促进有针对性的健康干预。

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Creating area level indices of behaviours impacting cancer in Australia with a Bayesian generalised shared component model

This study develops a model-based index approach called the Generalised Shared Component Model (GSCM) by drawing on the large field of factor models. The proposed fully Bayesian approach accommodates heteroscedastic model error, multiple shared factors and flexible spatial priors. Moreover, unlike previous index approaches, our model provides indices with uncertainty. Focusing on unhealthy behaviors that increase the risk of cancer, the proposed GSCM is used to develop the Area Indices of Behaviors Impacting Cancer product — representing the first area level cancer risk factor index in Australia. This advancement aids in identifying communities with elevated cancer risk, facilitating targeted health interventions.

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