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Application of sandwich spatial estimation method in cancer mapping: A case study for breast cancer mortality in the Chinese mainland, 2005

文献类型：期刊论文

作者Liao, Yilan3; Li, Dongyue1,3; Zhang, Ningxu1,3,5; Xia, Changfa2,4; Zheng, Rongshou2,4; Zeng, Hongmei2,4; Zhang, Siwei2,4; Wang, Jinfeng3; Chen, Wanqing2,4
刊名STATISTICAL METHODS IN MEDICAL RESEARCH
出版日期2019-12-01
卷号28期号:12页码:3609-3626
关键词Sandwich estimation Bayesian cancer mortality spatial distribution mapping
ISSN号0962-2802
DOI10.1177/0962280218811344
通讯作者Liao, Yilan(liaoyl@lreis.ac.cn) ; Wang, Jinfeng(wangjf@lreis.ac.cn)
英文摘要High-accuracy spatial distribution estimation is crucial for cancer prevention and control. Due to their complicated pathogenic factors, the distributions of many cancers' mortalities appear blocky, and spatial heterogeneity is common. However, most of the commonly used cancer mapping methods are based on spatial autocorrelation theory. Sandwich estimation is a new method based on spatial heterogeneity theory. A modified sandwich estimation method suitable for the estimation of cancer mortality distribution is proposed in this study. The variances of cancer mortality data are used to fuse sandwich estimation results from various auxiliary variables, the feasibility of which in estimating cancer mortality distributions is explained theoretically. The breast cancer (BC) mortality of the Chinese mainland in 2005 was taken as a case, and the accuracy of the modified sandwich estimation method was compared with that of the Hierarchical Bayesian (HB), the Co-Kriging (CK) and the Ordinary Kriging (OK) methods. The accuracy of the modified sandwich estimation method was better than the HB, the CK and the OK methods, and the estimation result from the modified sandwich estimation method was more likely to be acceptable. Therefore, this study represents an attempt to apply the sandwich estimation method to the estimation of cancer mortality distributions with strong spatial heterogeneity, which holds great potential for further application.
WOS关键词INTERPOLATION METHODS ; GEOGRAPHIC DISPARITIES ; EMPIRICAL BAYES ; SOIL PROPERTIES ; RISK-ASSESSMENT ; WOMEN ; URBAN ; REGRESSION ; PREDICTION ; DISEASE
资助项目National Key R&D Program of China[2016YFC1302504] ; National Natural Science Foundation of China[41471377] ; National Natural Science Foundation of China[41531179] ; National Natural Science Foundation of China[41421001] ; Program Grant in Fundamental Research from the Ministry of Science and Technology[2014FY121100]
WOS研究方向Health Care Sciences & Services ; Mathematical & Computational Biology ; Medical Informatics ; Mathematics
语种英语
WOS记录号WOS:000486890500009
出版者SAGE PUBLICATIONS LTD
资助机构National Key R&D Program of China ; National Natural Science Foundation of China ; Program Grant in Fundamental Research from the Ministry of Science and Technology
源URL[http://ir.igsnrr.ac.cn/handle/311030/69549]  
专题中国科学院地理科学与资源研究所
通讯作者Liao, Yilan; Wang, Jinfeng
作者单位1.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing, Peoples R China
2.Peking Union Med Coll, Beijing, Peoples R China
3.Chinese Acad Sci, State Key Lab Resources & Environm Informat Syst, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China
4.Chinese Acad Med Sci, Natl Off Canc Prevent & Control, Natl Canc Ctr, Canc Hosp, Beijing, Peoples R China
5.Jiangsu Ctr Collaborat Innovat Geog Informat Reso, Nanjing, Jiangsu, Peoples R China
推荐引用方式
GB/T 7714		 Liao, Yilan,Li, Dongyue,Zhang, Ningxu,et al. Application of sandwich spatial estimation method in cancer mapping: A case study for breast cancer mortality in the Chinese mainland, 2005[J]. STATISTICAL METHODS IN MEDICAL RESEARCH,2019,28(12):3609-3626.
APA Liao, Yilan.,Li, Dongyue.,Zhang, Ningxu.,Xia, Changfa.,Zheng, Rongshou.,...&Chen, Wanqing.(2019).Application of sandwich spatial estimation method in cancer mapping: A case study for breast cancer mortality in the Chinese mainland, 2005.STATISTICAL METHODS IN MEDICAL RESEARCH,28(12),3609-3626.
MLA Liao, Yilan,et al."Application of sandwich spatial estimation method in cancer mapping: A case study for breast cancer mortality in the Chinese mainland, 2005".STATISTICAL METHODS IN MEDICAL RESEARCH 28.12(2019):3609-3626.

入库方式： OAI收割

来源：地理科学与资源研究所

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