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

doi:10.1177/0962280218811344

	Application of sandwich spatial estimation method in cancer mapping: A case study for breast cancer mortality in the Chinese mainland, 2005
	Liao, Yilan 2; Li, Dongyue 2,3; Zhang, Ningxu 2,3,4; Xia, Changfa 1,5; Zheng, Rongshou 1,5; Zeng, Hongmei 1,5; Zhang, Siwei 1,5; Wang, Jinfeng 2; Chen, Wanqing 1,5
刊名	STATISTICAL METHODS IN MEDICAL RESEARCH
	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
DOI	10.1177/0962280218811344
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.
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关键词	INTERPOLATION METHODS ; GEOGRAPHIC DISPARITIES ; EMPIRICAL BAYES ; SOIL PROPERTIES ; RISK-ASSESSMENT ; WOMEN ; URBAN ; REGRESSION ; PREDICTION ; DISEASE
WOS研究方向	Health Care Sciences & Services ; Mathematical & Computational Biology ; Medical Informatics ; Mathematics
语种	英语
出版者	SAGE PUBLICATIONS LTD
WOS记录号	WOS:000486890500009
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
内容类型	期刊论文
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.Chinese Acad Med Sci, Natl Off Canc Prevent & Control, Natl Canc Ctr, Canc Hosp, Beijing, Peoples R China 2.Chinese Acad Sci, State Key Lab Resources & Environm Informat Syst, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China 3.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing, Peoples R China 4.Jiangsu Ctr Collaborat Innovat Geog Informat Reso, Nanjing, Jiangsu, Peoples R China 5.Peking Union Med Coll, Beijing, 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.