Detecting cancer clusters in a regional population with local cluster tests and Bayesian smoothing methods: a simulation study.
about
Spatial epidemiology of dry eye disease: findings from South KoreaComparing adaptive and fixed bandwidth-based kernel density estimates in spatial cancer epidemiologyImpact of socioeconomic inequalities on geographic disparities in cancer incidence: comparison of methods for spatial disease mapping.Sequential tests for monitoring methods to detect elevated incidence - a simulation study.
P2860
Detecting cancer clusters in a regional population with local cluster tests and Bayesian smoothing methods: a simulation study.
description
article científic
@ca
article scientifique
@fr
articolo scientifico
@it
artigo científico
@pt
bilimsel makale
@tr
scientific article published on 07 December 2013
@en
vedecký článok
@sk
vetenskaplig artikel
@sv
videnskabelig artikel
@da
vědecký článek
@cs
name
Detecting cancer clusters in a ...... g methods: a simulation study.
@en
Detecting cancer clusters in a ...... g methods: a simulation study.
@nl
type
label
Detecting cancer clusters in a ...... g methods: a simulation study.
@en
Detecting cancer clusters in a ...... g methods: a simulation study.
@nl
prefLabel
Detecting cancer clusters in a ...... g methods: a simulation study.
@en
Detecting cancer clusters in a ...... g methods: a simulation study.
@nl
P2093
P2860
P356
P1476
Detecting cancer clusters in a ...... g methods: a simulation study.
@en
P2093
Dorothea Lemke
Hans-Werner Hense
Oliver Heidinger
Volkmar Mattauch
P2860
P356
10.1186/1476-072X-12-54
P577
2013-12-07T00:00:00Z