On selection and composition in small area and mapping problems

被引:3
作者
Longford, NT
机构
[1] SNTL, Leicester LE2 5RL, Leics, England
[2] Massey Univ, Inst Informat Sci & Technol, Palmerston North, New Zealand
关键词
D O I
10.1191/0962280205sm385oa
中图分类号
R19 [保健组织与事业(卫生事业管理)];
学科分类号
摘要
Maps in which small areas, such as districts, are represented by colours, shades or symbols with sizes determined by the values of estimates are regarded as an indispensable graphical output of analyses concerned with the geographical detail of economic, social, ecological and epidemiological phenomena. The distortion of the distribution of the district specific quantities in such maps, due to misrepresentation of the uncertainty about the estimated values, is discussed, and an alternative based on drawing so-called plausible maps is described. We highlight the pervasive and nonignorable nature of the selection process that identifies the quantity (target) to be estimated. A problem specific to disease mapping is what action, often one of a discrete set, to take in response to the results of an analysis. We argue that the costs (values) associated with correct and incorrect decisions should be integrated in the analysis and, when an analytical treatment is not feasible, plausible scenarios played out by simulations.
引用
收藏
页码:3 / 16
页数:14
相关论文
共 14 条
[1]  
Coles S. G., 1999, Extremes, V2, P5, DOI [10.1023/A:1009905222644, DOI 10.1023/A:1009905222644]
[2]  
de Finetti B., 1974, THEORY PROBABILITY C, V1
[3]   MAXIMUM LIKELIHOOD FROM INCOMPLETE DATA VIA EM ALGORITHM [J].
DEMPSTER, AP ;
LAIRD, NM ;
RUBIN, DB .
JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-METHODOLOGICAL, 1977, 39 (01) :1-38
[5]  
Gelman A, 1999, STAT MED, V18, P3221
[6]  
Gelman A, 2013, BAYESIAN DATA ANAL, DOI DOI 10.1201/9780429258411
[7]   Modelling dependence within joint tail regions [J].
Ledford, AW ;
Tawn, JA .
JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-METHODOLOGICAL, 1997, 59 (02) :475-499
[8]   On the effect of the number of quadrature points in a logistic random-effects model: an example [J].
Lesaffre, E ;
Spiessens, B .
JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES C-APPLIED STATISTICS, 2001, 50 :325-335
[9]  
Lindley DV, 1998, STAT SCI, V13, P136
[10]   An alternative to model selection in ordinary regression [J].
Longford, NT .
STATISTICS AND COMPUTING, 2003, 13 (01) :67-80