Literature DB >> 9131762

Disease mapping with errors in covariates.

L Bernardinelli1, C Pascutto, N G Best, W R Gilks.   

Abstract

We describe Bayesian hierarchical-spatial models for disease mapping with imprecisely observed ecological covariates. We posit smoothing priors for both the disease submodel and the covariate submodel. We apply the models to an analysis of insulin Dependent Diabetes Mellitus incidence in Sardinia, with malaria prevalence as a covariate.

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Year:  1997        PMID: 9131762     DOI: 10.1002/(sici)1097-0258(19970415)16:7<741::aid-sim501>3.0.co;2-1

Source DB:  PubMed          Journal:  Stat Med        ISSN: 0277-6715            Impact factor:   2.373


  12 in total

1.  Spatial regression with covariate measurement error: A semiparametric approach.

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Journal:  Biometrics       Date:  2016-01-20       Impact factor: 2.571

2.  Spatial smoothing in Bayesian models: a comparison of weights matrix specifications and their impact on inference.

Authors:  Earl W Duncan; Nicole M White; Kerrie Mengersen
Journal:  Int J Health Geogr       Date:  2017-12-16       Impact factor: 3.918

3.  Spatial Linear Mixed Models with Covariate Measurement Errors.

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Journal:  Stat Sin       Date:  2009       Impact factor: 1.261

4.  Spatial Patterns of Ischemic Heart Disease in Shenzhen, China: A Bayesian Multi-Disease Modelling Approach to Inform Health Planning Policies.

Authors:  Qingyun Du; Mingxiao Zhang; Yayan Li; Hui Luan; Shi Liang; Fu Ren
Journal:  Int J Environ Res Public Health       Date:  2016-04-20       Impact factor: 3.390

5.  Risk of cancer in the vicinity of municipal solid waste incinerators: importance of using a flexible modelling strategy.

Authors:  Sarah Goria; Côme Daniau; Perrine de Crouy-Chanel; Pascal Empereur-Bissonnet; Pascal Fabre; Marc Colonna; Cedric Duboudin; Jean-François Viel; Sylvia Richardson
Journal:  Int J Health Geogr       Date:  2009-05-28       Impact factor: 3.918

6.  Geographic variations in risk: adjusting for unmeasured confounders through joint modeling of multiple diseases.

Authors:  Nicky Best; Anna Louise Hansell
Journal:  Epidemiology       Date:  2009-05       Impact factor: 4.822

7.  Vector Surveillance, Host Species Richness, and Demographic Factors as West Nile Disease Risk Indicators.

Authors:  John M Humphreys; Katherine I Young; Lee W Cohnstaedt; Kathryn A Hanley; Debra P C Peters
Journal:  Viruses       Date:  2021-05-18       Impact factor: 5.048

Review 8.  Spatial epidemiology: current approaches and future challenges.

Authors:  Paul Elliott; Daniel Wartenberg
Journal:  Environ Health Perspect       Date:  2004-06       Impact factor: 9.031

9.  Estimation of malaria incidence in northern Namibia in 2009 using Bayesian conditional-autoregressive spatial-temporal models.

Authors:  Victor A Alegana; Peter M Atkinson; Jim A Wright; Richard Kamwi; Petrina Uusiku; Stark Katokele; Robert W Snow; Abdisalan M Noor
Journal:  Spat Spatiotemporal Epidemiol       Date:  2013-09-17

10.  Spatial scale in environmental risk mapping: A Valley fever case study.

Authors:  Brown Heidi E; Mu Wangshu; Khan Mohammed; Tsang Clarisse; Liu Jian; Tong Daoqin
Journal:  J Public Health Res       Date:  2017-09-22
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