[图书][B] Statistical methods in spatial epidemiology
AB Lawson - 2013 - books.google.com
Spatial epidemiology is the description and analysis of the geographical distribution of
disease. It is more important now than ever, with modern threats such as bio-terrorism …
disease. It is more important now than ever, with modern threats such as bio-terrorism …
An application of Bayesian spatial statistical methods to the study of racial and poverty segregation and infant mortality rates in the US
P Johnelle Sparks, CS Sparks, JJA Campbell - GeoJournal, 2013 - Springer
The infant mortality rate is a fundamental measure of population health used internationally.
In the United States, the infant mortality rate is higher than what would be expected for a …
In the United States, the infant mortality rate is higher than what would be expected for a …
Spatial risk mapping for rare disease with hidden Markov fields and variational EM
F Forbes, M Charras-Garrido, L Azizi, S Doyle… - The Annals of Applied …, 2013 - JSTOR
Current risk mapping models for pooled data focus on the estimated risk for each
geographical unit. A risk classification, that is, grouping of geographical units with similar …
geographical unit. A risk classification, that is, grouping of geographical units with similar …
Relating land cover and spatial distribution of nephropathia epidemica and Lyme borreliosis in Belgium
JM Barrios, WW Verstraeten, P Maes… - International journal …, 2013 - Taylor & Francis
Lyme borreliosis (LB) and nephropathia epidemica (NE) are zoonoses resulting from two
different transmission mechanisms and the action of two different pathogens: the bacterium …
different transmission mechanisms and the action of two different pathogens: the bacterium …
How to interpret and choose a Bayesian spatial model and a Poisson regression model in the context of describing small area cancer risks variations
M Colonna, EA Sauleau - Revue d'epidemiologie et de sante publique, 2013 - Elsevier
Abstract Background The statistical Bayesian approach is widely used in disease mapping
and Poisson regression. Results differ depending on the underlying hypothesis. Our …
and Poisson regression. Results differ depending on the underlying hypothesis. Our …
On the difficulty to delimit disease risk hot spots
M Charras-Garrido, L Azizi, F Forbes, S Doyle… - International journal of …, 2013 - Elsevier
Representing the health state of a region is a helpful tool to highlight spatial heterogeneity
and localize high risk areas. For ease of interpretation and to determine where to apply …
and localize high risk areas. For ease of interpretation and to determine where to apply …
Bayesian spatial analysis for the evaluation of breast cancer detection methods
JCF Hsieh, SM Cramb, JM McGree… - Australian & New …, 2013 - Wiley Online Library
This study investigated the impact of spatial location on the effectiveness of population‐
based breast screening in reducing breast cancer mortality compared to other detection …
based breast screening in reducing breast cancer mortality compared to other detection …
Mapping of large intestine cancer incidence rate using area-to-area Poisson Kriging in Iran from 2003 to 2007
NS Asmarian, A Kavousi, M Salehi - 2013 - sid.ir
Background: LARGE INTESTINE CANCER is ranked second among gastrointestinal
cancers and is the fourth common cancer in Iran. The aim of this study is to map the county …
cancers and is the fourth common cancer in Iran. The aim of this study is to map the county …
Small area estimation for health surveys
DM Hindmarsh - 2013 - ro.uow.edu.au
This thesis develops and evaluates Small Area Estimation (SAE) methods to provide
estimates of prevalence rates of health risk factors for Local Government Areas (LGAs) in …
estimates of prevalence rates of health risk factors for Local Government Areas (LGAs) in …
Robust REML estimation for k‐component Poisson mixture with random effects: application to the epilepsy seizure count data and urinary tract infections data
D Yu, KKW Yau - Statistics in Medicine, 2013 - Wiley Online Library
A robust version of residual maximum likelihood estimation for Poisson log‐linear mixed
model is developed, and the method is extended to k‐component Poisson mixture with …
model is developed, and the method is extended to k‐component Poisson mixture with …