Multivariate Bayesian models with flexible shared interactions for analyzing spatio-temporal patterns of rare cancers

IF 3 4区 环境科学与生态学 Q2 ENVIRONMENTAL SCIENCES Environmental and Ecological Statistics Pub Date : 2024-07-26 DOI:10.1007/s10651-024-00630-w
Garazi Retegui, Jaione Etxeberria, María Dolores Ugarte
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Abstract

Rare cancers affect millions of people worldwide each year. However, estimating incidence or mortality rates associated with rare cancers presents important difficulties and poses new statistical methodological challenges. In this paper, we expand the collection of multivariate spatio-temporal models by introducing adaptable shared spatio-temporal components to enable a comprehensive analysis of both incidence and cancer mortality in rare cancer cases. These models allow the modulation of spatio-temporal effects between incidence and mortality, allowing for changes in their relationship over time. The new models have been implemented in INLA using r-generic constructions. We conduct a simulation study to evaluate the performance of the new spatio-temporal models. Our results show that multivariate spatio-temporal models incorporating a flexible shared spatio-temporal term outperform conventional multivariate spatio-temporal models that include specific spatio-temporal effects for each health outcome. We use these models to analyze incidence and mortality data for pancreatic cancer and leukaemia among males across 142 administrative health care districts of Great Britain over a span of nine biennial periods (2002–2019).

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具有灵活共享交互作用的多变量贝叶斯模型,用于分析罕见癌症的时空模式
罕见癌症每年影响着全球数百万人。然而,估算与罕见癌症相关的发病率或死亡率存在重大困难,并对统计方法提出了新的挑战。在本文中,我们通过引入可调整的共享时空成分,扩展了多变量时空模型集合,从而能够对罕见癌症病例的发病率和癌症死亡率进行全面分析。这些模型可以调节发病率和死亡率之间的时空效应,使它们之间的关系随时间发生变化。新模型已在 INLA 中使用 r-通用结构实现。我们进行了一项模拟研究,以评估新时空模型的性能。我们的研究结果表明,包含灵活共享时空项的多变量时空模型优于传统的多变量时空模型,后者包含每个健康结果的特定时空效应。我们使用这些模型分析了英国 142 个行政医疗保健区九个双年度期间(2002-2019 年)男性胰腺癌和白血病的发病率和死亡率数据。
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来源期刊
Environmental and Ecological Statistics
Environmental and Ecological Statistics 环境科学-环境科学
CiteScore
5.90
自引率
2.60%
发文量
27
审稿时长
>36 weeks
期刊介绍: Environmental and Ecological Statistics publishes papers on practical applications of statistics and related quantitative methods to environmental science addressing contemporary issues. Emphasis is on applied mathematical statistics, statistical methodology, and data interpretation and improvement for future use, with a view to advance statistics for environment, ecology and environmental health, and to advance environmental theory and practice using valid statistics. Besides clarity of exposition, a single most important criterion for publication is the appropriateness of the statistical method to the particular environmental problem. The Journal covers all aspects of the collection, analysis, presentation and interpretation of environmental data for research, policy and regulation. The Journal is cross-disciplinary within the context of contemporary environmental issues and the associated statistical tools, concepts and methods. The Journal broadly covers theory and methods, case studies and applications, environmental change and statistical ecology, environmental health statistics and stochastics, and related areas. Special features include invited discussion papers; research communications; technical notes and consultation corner; mini-reviews; letters to the Editor; news, views and announcements; hardware and software reviews; data management etc.
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