Covariate adjusted mixture models and disease mapping with the program DismapWin.
about
Space-time mixture modelling of public health data.Modelling categorical covariates in Bayesian disease mapping by partition structures.Modelling risks in disease mapping.Non-parametric maximum likelihood estimators for disease mapping.Methods used in the spatial analysis of tuberculosis epidemiology: a systematic review
P2860
Covariate adjusted mixture models and disease mapping with the program DismapWin.
description
1996 nî lūn-bûn
@nan
1996年の論文
@ja
1996年学术文章
@wuu
1996年学术文章
@zh
1996年学术文章
@zh-cn
1996年学术文章
@zh-hans
1996年学术文章
@zh-my
1996年学术文章
@zh-sg
1996年學術文章
@yue
1996年學術文章
@zh-hant
name
Covariate adjusted mixture models and disease mapping with the program DismapWin.
@en
Covariate adjusted mixture models and disease mapping with the program DismapWin.
@nl
type
label
Covariate adjusted mixture models and disease mapping with the program DismapWin.
@en
Covariate adjusted mixture models and disease mapping with the program DismapWin.
@nl
prefLabel
Covariate adjusted mixture models and disease mapping with the program DismapWin.
@en
Covariate adjusted mixture models and disease mapping with the program DismapWin.
@nl
P2093
P1476
Covariate adjusted mixture models and disease mapping with the program DismapWin.
@en
P2093
P304
P356
10.1002/(SICI)1097-0258(19960415)15:7/9<919::AID-SIM260>3.0.CO;2-W
P407
P577
1996-04-01T00:00:00Z