Application of a weighted head-banging algorithm to mortality data maps.
about
Accounting for regional background and population size in the detection of spatial clusters and outliers using geostatistical filtering and spatial neutral models: the case of lung cancer in Long Island, New YorkSmall area mapping of prostate cancer incidence in New York State (USA) using fully Bayesian hierarchical modellingGeographic bias related to geocoding in epidemiologic studies.Geostatistical analysis of disease data: estimation of cancer mortality risk from empirical frequencies using Poisson krigingGeostatistical analysis of disease data: visualization and propagation of spatial uncertainty in cancer mortality risk using Poisson kriging and p-field simulation.Comparison of estimation methods for creating small area rates of acute myocardial infarction among Medicare beneficiaries in CaliforniaCurrent practices in spatial analysis of cancer data: mapping health statistics to inform policymakers and the public.Cancer incidence in men: a cluster analysis of spatial patternsComparison of small-area analysis techniques for estimating prevalence by race.Factors influencing U.S. canine heartworm (Dirofilaria immitis) prevalence.Detection of temporal changes in the spatial distribution of cancer rates using local Moran's I and geostatistically simulated spatial neutral models.U.S. geographic distribution of prevaccine era cervical cancer screening, incidence, stage, and mortalityExploring scale-dependent correlations between cancer mortality rates using factorial kriging and population-weighted semivariogramsAccounting for rate instability and spatial patterns in the boundary analysis of cancer mortality mapsHow does Poisson kriging compare to the popular BYM model for mapping disease risks?Factors associated with Anaplasma spp. seroprevalence among dogs in the United States.Spatio-temporal analysis of small-area intestinal parasites infections in Ghana.A method for quantifying artefacts in mapping methods illustrated by application to headbanging.Exploring spatial patterns of mortality: the new atlas of United States mortality.Simultaneous smoothing and adjusting mortality rates in U.S. counties: melanoma in white females and white males.The impact of data suppression on local mortality rates: the case of CDC WONDER.
P2860
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P2860
Application of a weighted head-banging algorithm to mortality data maps.
description
1999 nî lūn-bûn
@nan
1999 թուականի Դեկտեմբերին հրատարակուած գիտական յօդուած
@hyw
1999 թվականի դեկտեմբերին հրատարակված գիտական հոդված
@hy
1999年の論文
@ja
1999年論文
@yue
1999年論文
@zh-hant
1999年論文
@zh-hk
1999年論文
@zh-mo
1999年論文
@zh-tw
1999年论文
@wuu
name
Application of a weighted head-banging algorithm to mortality data maps.
@ast
Application of a weighted head-banging algorithm to mortality data maps.
@en
type
label
Application of a weighted head-banging algorithm to mortality data maps.
@ast
Application of a weighted head-banging algorithm to mortality data maps.
@en
prefLabel
Application of a weighted head-banging algorithm to mortality data maps.
@ast
Application of a weighted head-banging algorithm to mortality data maps.
@en
P2093
P1476
Application of a weighted head-banging algorithm to mortality data maps.
@en
P2093
Mungiole M
Simonson KH
P304
P356
10.1002/(SICI)1097-0258(19991215)18:23<3201::AID-SIM310>3.0.CO;2-U
P407
P577
1999-12-01T00:00:00Z