Literature DB >> 25285319

Disease mapping.

Lance A Waller1, Bradley P Carlin2.   

Abstract

Entities:  

Year:  2010        PMID： 25285319      PMCID： PMC4180601          DOI： 10.1201/9781420072884-c14

Source DB:  PubMed          Journal:  Chapman Hall CRC Handb Mod Stat Methods


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  23 in total

1.  Bayesian partitioning for estimating disease risk.

Authors:  D G Denison; C C Holmes
Journal:  Biometrics       Date:  2001-03       Impact factor: 2.571

2.  Parametric bootstrap and penalized quasi-likelihood inference in conditional autoregressive models.

Authors:  Y C MacNab; C B Dean
Journal:  Stat Med       Date:  2000 Sep 15-30       Impact factor: 2.373

3.  Identifiability and convergence issues for Markov chain Monte Carlo fitting of spatial models.

Authors:  L E Eberly; B P Carlin
Journal:  Stat Med       Date:  2000 Sep 15-30       Impact factor: 2.373

4.  On the precision of the conditionally autoregressive prior in spatial models.

Authors:  James S Hodges; Bradley P Carlin; Qiao Fan
Journal:  Biometrics       Date:  2003-06       Impact factor: 2.571

5.  Mapping disease and mortality rates using empirical Bayes estimators.

Authors:  R J Marshall
Journal:  J R Stat Soc Ser C Appl Stat       Date:  1991       Impact factor: 1.864

6.  Order-free co-regionalized areal data models with application to multiple-disease mapping.

Authors:  Xiaoping Jin; Sudipto Banerjee; Bradley P Carlin
Journal:  J R Stat Soc Series B Stat Methodol       Date:  2007-11-01       Impact factor: 4.488

7.  A model framework for mortality and health data classified by age, area, and time.

Authors:  Peter Congdon
Journal:  Biometrics       Date:  2006-03       Impact factor: 2.571

8.  Modelling risk from a disease in time and space.

Authors:  L Knorr-Held; J Besag
Journal:  Stat Med       Date:  1998-09-30       Impact factor: 2.373

9.  Spatio-temporal models with errors in covariates: mapping Ohio lung cancer mortality.

Authors:  H Xia; B P Carlin
Journal:  Stat Med       Date:  1998-09-30       Impact factor: 2.373

10.  Hierarchical and joint site-edge methods for medicare hospice service region boundary analysis.

Authors:  Haijun Ma; Bradley P Carlin; Sudipto Banerjee
Journal:  Biometrics       Date:  2009-07-23       Impact factor: 2.571
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  9 in total

1.  Estimating Country-Specific Incidence Rates of Rare Cancers: Comparative Performance Analysis of Modeling Approaches Using European Cancer Registry Data.

Authors:  Diego Salmerón; Laura Botta; José Miguel Martínez; Annalisa Trama; Gemma Gatta; Josep M Borràs; Riccardo Capocaccia; Ramon Clèries
Journal:  Am J Epidemiol       Date:  2022-02-19       Impact factor: 4.897

2.  A Model for Highly Fluctuating Spatio-Temporal Infection Data, with Applications to the COVID Epidemic.

Authors:  Peter Congdon
Journal:  Int J Environ Res Public Health       Date:  2022-05-30       Impact factor: 4.614

3.  Spatial modeling of cutaneous leishmaniasis in Iranian army units during 2014-2017 using a hierarchical Bayesian method and the spatial scan statistic.

Authors:  Erfan Ayubi; Mohammad Barati; Arasb Dabbagh Moghaddam; Ali Reza Khoshdel
Journal:  Epidemiol Health       Date:  2018-07-13

4.  Bayesian spatial modelling of childhood cancer incidence in Switzerland using exact point data: a nationwide study during 1985-2015.

Authors:  Garyfallos Konstantinoudis; Dominic Schuhmacher; Roland A Ammann; Tamara Diesch; Claudia E Kuehni; Ben D Spycher
Journal:  Int J Health Geogr       Date:  2020-04-17       Impact factor: 3.918

5.  Bayesian spatial modelling of early childhood development in Australian regions.

Authors:  Mu Li; Bernard Baffour; Alice Richardson
Journal:  Int J Health Geogr       Date:  2020-10-19       Impact factor: 3.918

6.  Spatial-Temporal Modelling of Disease Risk Accounting for PM2.5 Exposure in the Province of Pavia: An Area of the Po Valley.

Authors:  Leonardo Trivelli; Paola Borrelli; Ennio Cadum; Enrico Pisoni; Simona Villani
Journal:  Int J Environ Res Public Health       Date:  2021-01-14       Impact factor: 3.390

7.  Spatial Cluster Analysis of Stomach Neoplasms in the Center of Iran Based on a Population-Based Study, 2009-2014: Application of the Poisson-Based Probability Model.

Authors:  Rahmatollah Moradzadeh; Mohsen Shamsi; Saeed Heidari
Journal:  Int J Prev Med       Date:  2022-02-23

8.  Application of Bayesian Regression for the Identification of a Catchment Area for Cancer Cases in Dogs and Cats.

Authors:  José Manuel Díaz Cao; Michael S Kent; Ruwini Rupasinghe; Beatriz Martínez-López
Journal:  Front Vet Sci       Date:  2022-07-25

9.  A unified Gaussian copula methodology for spatial regression analysis.

Authors:  John Hughes
Journal:  Sci Rep       Date:  2022-09-23       Impact factor: 4.996
  9 in total

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