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Space-time covid-19 Bayesian SIR modeling in South Carolina

PloS one, 2021-03, Vol.16 (3), p.e0242777-e0242777

2021

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Evaluation of predictive capability of Bayesian spatio-temporal models for Covid-19 spread

BMC medical research methodology, 2023-08, Vol.23 (1), p.182-182, Article 182

Lawson, Andrew B

2023

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Bayesian space-time SIR modeling of Covid-19 in two US states during the 2020-2021 pandemic

PloS one, 2022-12, Vol.17 (12), p.e0278515

2022

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Bayesian Biostatistics

1, 2012

Volltextzugriff (PDF)

Using R for Bayesian Spatial and Spatio-Temporal Health Modeling

Lawson, Andrew B.

1, 2021

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Spatial and Syndromic Surveillance for Public Health

1. Aufl., 2005

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Identifying natural and anthropogenic sources of metals in urban and rural soils using GIS-based data, PCA, and spatial interpolation

Environmental pollution (1987), 2009-08, Vol.157 (8), p.2378-2385

2009

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Spatiotemporal reproduction number with Bayesian model selection for evaluation of emerging infectious disease transmissibility: an application to COVID-19 national surveillance data

BMC medical research methodology, 2023-03, Vol.23 (1), p.62-62, Article 62

2023

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Bayesian modeling of spatially differentiated multivariate enamel defects of the children's primary maxillary central incisor teeth

BMC medical research methodology, 2024-04, Vol.24 (1), p.88-88, Article 88

2024

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Spatiotemporal multi-disease transmission dynamic measure for emerging diseases: an application to dengue and zika integrated surveillance in Thailand

BMC medical research methodology, 2019-10, Vol.19 (1), p.200-200, Article 200

2019

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Evaluation and comparison of spatial cluster detection methods for improved decision making of disease surveillance: a case study of national dengue surveillance in Thailand

BMC medical research methodology, 2024-01, Vol.24 (1), p.14-14, Article 14

2024

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Evaluation of Bayesian spatiotemporal infectious disease models for prospective surveillance analysis

BMC medical research methodology, 2023-07, Vol.23 (1), p.171-171, Article 171

2023

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Using Bayesian time-stratified case-crossover models to examine associations between air pollution and "asthma seasons" in a low air pollution environment

PloS one, 2021-12, Vol.16 (12), p.e0260264-e0260264

2021

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Handbook of Spatial Epidemiology

1, 2016

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Bayesian Disease Mapping: Hierarchical Modeling in Spatial Epidemiology

Lawson, Andrew B.

Third edition., 2018

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Survival of epithelial ovarian cancer in Black women: a society to cell approach in the African American cancer epidemiology study (AACES)

Cancer causes & control, 2023-03, Vol.34 (3), p.251-265

2023

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Toward Preventing Enamel Hypoplasia: Modeling Maternal and Neonatal Biomarkers of Human Calcium Homeostasis

Caries research, 2020-01, Vol.54 (1), p.55-67

2020

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Correction: Bayesian space-time SIR modeling of Covid-19 in two US states during the 2020–2021 pandemic

PloS one, 2024-07, Vol.19 (7), p.e0307197

2024

Volltextzugriff (PDF)

Andrew B Lawson's contribution to the Discussion of ‘The Second Discussion Meeting on Statistical aspects of the Covid-19 Pandemic’

Journal of the Royal Statistical Society. Series A, Statistics in society, 2023-12, Vol.186 (4), p.648-649

Lawson, Andrew B

2023

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Hotspot detection and clustering: ways and means

Environmental and ecological statistics, 2010-06, Vol.17 (2), p.231-245

Lawson, Andrew B

2010

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Disease Mapping with WinBUGS and MLwiN

1, 2003

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Propensity score matching for multilevel spatial data: accounting for geographic confounding in health disparity studies

International journal of health geographics, 2021-02, Vol.20 (1), p.10-12, Article 10

2021

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The Association between Mediated Deprivation and Ovarian Cancer Survival among African American Women

Cancers, 2023-10, Vol.15 (19), p.4848

2023

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Associations between land cover categories, soil concentrations of arsenic, lead and barium, and population race/ethnicity and socioeconomic status

The Science of the total environment, 2014-08, Vol.490, p.1051-1056

2014

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Characterizing the Food Retail Environment: Impact of Count, Type, and Geospatial Error in 2 Secondary Data Sources

Journal of nutrition education and behavior, 2013-09, Vol.45 (5), p.435-442

2013

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Space-time covid-19 Bayesian SIR modeling in South Carolina

Evaluation of predictive capability of Bayesian spatio-temporal models for Covid-19 spread

Bayesian space-time SIR modeling of Covid-19 in two US states during the 2020-2021 pandemic

Bayesian Biostatistics

Using R for Bayesian Spatial and Spatio-Temporal Health Modeling

Spatial and Syndromic Surveillance for Public Health

Identifying natural and anthropogenic sources of metals in urban and rural soils using GIS-based data, PCA, and spatial interpolation

Spatiotemporal reproduction number with Bayesian model selection for evaluation of emerging infectious disease transmissibility: an application to COVID-19 national surveillance data

Bayesian modeling of spatially differentiated multivariate enamel defects of the children's primary maxillary central incisor teeth

Spatiotemporal multi-disease transmission dynamic measure for emerging diseases: an application to dengue and zika integrated surveillance in Thailand

Evaluation and comparison of spatial cluster detection methods for improved decision making of disease surveillance: a case study of national dengue surveillance in Thailand

Evaluation of Bayesian spatiotemporal infectious disease models for prospective surveillance analysis

Using Bayesian time-stratified case-crossover models to examine associations between air pollution and "asthma seasons" in a low air pollution environment

Handbook of Spatial Epidemiology

Bayesian Disease Mapping: Hierarchical Modeling in Spatial Epidemiology

Survival of epithelial ovarian cancer in Black women: a society to cell approach in the African American cancer epidemiology study (AACES)

Toward Preventing Enamel Hypoplasia: Modeling Maternal and Neonatal Biomarkers of Human Calcium Homeostasis

Correction: Bayesian space-time SIR modeling of Covid-19 in two US states during the 2020–2021 pandemic

Andrew B Lawson's contribution to the Discussion of ‘The Second Discussion Meeting on Statistical aspects of the Covid-19 Pandemic’

Hotspot detection and clustering: ways and means

Disease Mapping with WinBUGS and MLwiN

Propensity score matching for multilevel spatial data: accounting for geographic confounding in health disparity studies

The Association between Mediated Deprivation and Ovarian Cancer Survival among African American Women

Associations between land cover categories, soil concentrations of arsenic, lead and barium, and population race/ethnicity and socioeconomic status

Characterizing the Food Retail Environment: Impact of Count, Type, and Geospatial Error in 2 Secondary Data Sources

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