文章基本信息

标题：Small Area Disease Risk Estimation and Visualization Using R
本地全文：下载
作者：Paula Moraga
期刊名称：R News
印刷版ISSN：1609-3631
出版年度：2018
卷号：10
期号：1
页码：495-506
语种：English
出版社：The R Foundation for Statistical Computing
摘要：Small area disease risk estimation is essential for disease prevention and control. In this paper, we demonstrate how R can be used to obtain disease risk estimates and quantify risk factors using areal data. We explain how to define disease risk models and how to perform Bayesian inference using the INLA package. We also show how to make interactive maps of estimates using the leaflet package to better understand the disease spatial patterns and communicate the results. We show an example of lung cancer risk in Pennsylvania, United States, in year 2002, and demonstrate that R represents an excellent tool for disease surveillance by enabling reproducible health data analysis.