کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
7496573 1485783 2016 29 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Penalized composite link models for aggregated spatial count data: A mixed model approach
ترجمه فارسی عنوان
مدل پیوند مجاز کامپوزیت برای داده های شمارش فضایی جمع: یک مدل ترکیبی
کلمات کلیدی
مدل پیوند مجاز کامپوزیت، مدل های مختلف میزان مرگ و میر، نقشه برداری بیماری،
موضوعات مرتبط
مهندسی و علوم پایه علوم زمین و سیارات علوم زمین و سیاره ای (عمومی)
چکیده انگلیسی
Mortality data provide valuable information for the study of the spatial distribution of mortality risk, in disciplines such as spatial epidemiology and public health. However, they are frequently available in an aggregated form over irregular geographical units, hindering the visualization of the underlying mortality risk. Also, it can be of interest to obtain mortality risk estimates on a finer spatial resolution, such that they can be linked to potential risk factors that are usually measured in a different spatial resolution. In this paper, we propose the use of the penalized composite link model and its mixed model representation. This model considers the nature of mortality rates by incorporating the population size at the finest resolution, and allows the creation of mortality maps at a finer scale, thus reducing the visual bias resulting from the spatial aggregation within original units. We also extend the model by considering individual random effects at the aggregated scale, in order to take into account the overdispersion. We illustrate our novel proposal using two datasets: female deaths by lung cancer in Indiana, USA, and male lip cancer incidence in Scotland counties. We also compare the performance of our proposal with the area-to-point Poisson kriging approach.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Spatial Statistics - Volume 17, August 2016, Pages 179-198
نویسندگان
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