Spatio-temporal models with errors in covariates: mapping Ohio lung cancer mortality.
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Bayesian penalized spline models for the analysis of spatio-temporal count data.Forecasting United States heartworm Dirofilaria immitis prevalence in dogsA hidden Markov model for analysis of frontline veterinary data for emerging zoonotic disease surveillanceRace/Ethnic-Specific Homicide Rates in New York City: Evaluating the Impact of Broken Windows Policing and Crack Cocaine Markets.Semiparametric M-quantile regression for count data.Methodologic implications of social inequalities for analyzing health disparities in large spatiotemporal data sets: an example using breast cancer incidence data (Northern and Southern California, 1988--2002)A Bayesian spatio-temporal model for forecasting the prevalence of antibodies to Borrelia burgdorferi, causative agent of Lyme disease, in domestic dogs within the contiguous United StatesDisease map reconstruction.Policing and risk of overdose mortality in urban neighborhoodsosDesign: An R Package for the Analysis, Evaluation, and Design of Two-Phase and Case-Control Studies.Spatial regression with covariate measurement error: A semiparametric approach.A Bayesian spatio-temporal model for forecasting the prevalence of antibodies to Ehrlichia species in domestic dogs within the contiguous United StatesA Bayesian spatio-temporal model for forecasting Anaplasma species seroprevalence in domestic dogs within the contiguous United States.A Comparison of Spatio-Temporal Disease Mapping Approaches Including an Application to Ischaemic Heart Disease in New South Wales, Australia.Diffusion and prediction of Leishmaniasis in a large metropolitan area in Brazil with a Bayesian space-time model.On the impact of covariate measurement error on spatial regression modelling.Spatial Linear Mixed Models with Covariate Measurement Errors.Space-time stick-breaking processes for small area disease cluster estimation.Bayesian hierarchical modeling of latent period switching in small-area putative health hazard studies.Disease mapping via negative binomial regression M-quantiles.Spatio-temporal interaction with disease mapping.Spatial smoothing in Bayesian models: a comparison of weights matrix specifications and their impact on inference.A bayesian analysis for spatial processes with application to disease mapping.Investigating the effect of social changes on age-specific gun-related homicide rates in New York City during the 1990s.Triple-goal estimates for disease mapping.Detection of spatial variations in temporal trends with a quadratic function.A climate of uncertainty: accounting for error in climate variables for species distribution modelsAre Nonprofit Antipoverty Organizations Located Where They Are Needed? A Spatial Analysis of the Greater Hartford Region
P2860
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P2860
Spatio-temporal models with errors in covariates: mapping Ohio lung cancer mortality.
description
1998 nî lūn-bûn
@nan
1998年の論文
@ja
1998年学术文章
@wuu
1998年学术文章
@zh-cn
1998年学术文章
@zh-hans
1998年学术文章
@zh-my
1998年学术文章
@zh-sg
1998年學術文章
@yue
1998年學術文章
@zh
1998年學術文章
@zh-hant
name
Spatio-temporal models with errors in covariates: mapping Ohio lung cancer mortality.
@en
Spatio-temporal models with errors in covariates: mapping Ohio lung cancer mortality.
@nl
type
label
Spatio-temporal models with errors in covariates: mapping Ohio lung cancer mortality.
@en
Spatio-temporal models with errors in covariates: mapping Ohio lung cancer mortality.
@nl
prefLabel
Spatio-temporal models with errors in covariates: mapping Ohio lung cancer mortality.
@en
Spatio-temporal models with errors in covariates: mapping Ohio lung cancer mortality.
@nl
P1476
Spatio-temporal models with errors in covariates: mapping Ohio lung cancer mortality.
@en
P304
P356
10.1002/(SICI)1097-0258(19980930)17:18<2025::AID-SIM865>3.0.CO;2-M
P407
P577
1998-09-01T00:00:00Z