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    Author
    Congdon, P (34)
    Adin, A (1)Amugsi, D (1)Atkinson, S (1)Bagheri, N (1)Baptista, H (1)Batterham, PJ (1)Calear, AL (1)Canhão, H (1)Chen, Y (1)... View MoreSubjectBayesian (4)obesity (4)Spatial (3)Deprivation (2)deprivation (2)Diabetes (2)diabetes (2)DISPARITIES (2)HEALTH-CARE (2)HEART-DISEASE (2)... View MoreDate Issued2020 - 2022 (10)2010 - 2019 (18)2006 - 2009 (3)
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    Spatial heterogeneity in Bayesian disease mapping 

    Congdon, P (2019-01-01)
    © 2018, The Author(s). Disease mapping applications generally assume homogeneous regression effects and use random intercepts to account for residual spatial dependence. However, there may be local variation in the association ...
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    Bayesian Linear Mixed Models with Polygenic Effects 

    Zhao, JH; Luan, J; Congdon, P (2018-06)
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    A local join counts methodology for spatial clustering in disease from relative risk models 

    Congdon, P (2016)
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    Variations in Obesity Rates between US Counties: Impacts of Activity Access, Food Environments, and Settlement Patterns 

    Congdon, P (2017-09)
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    Does depression diagnosis and antidepressant prescribing vary by location? Analysis of ethnic density associations using a large primary-care dataset 

    Schofield, P; Das-Munshi, J; Mathur, R; Congdon, P; Hull, S (2016-04)
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    Explaining variations in obesity and inactivity between US metropolitan areas 

    Congdon, P (2016-04-01)
    © 2014, Springer Science+Business Media Dordrecht. This paper discusses measurement of the main dimensions of the urban environment that have been proposed as relevant to explaining geographic variations in obesity and ...
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    Area variations in multiple morbidity using a life table methodology. 

    Congdon, P (2016)
    Analysis of healthy life expectancy is typically based on a binary distinction between health and ill-health. By contrast, this paper considers spatial modelling of disease free life expectancy taking account of the number ...
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    Spatial variation in attributable risks. 

    Congdon, P (2015-01)
    The attributable risk (AR) measures the contribution of a particular risk factor to a disease, and allows estimation of disease rates specific to that risk. While previous studies consider variability in ARs over demographic ...
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    Estimating Prevalence of Coronary Heart Disease for Small Areas Using Collateral Indicators of Morbidity 

    Congdon, P (2010-01)
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    Spatially Interpolated Disease Prevalence Estimation Using Collateral Indicators of Morbidity and Ecological Risk 

    Congdon, P (2013-10)
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