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Bayesian hierarchical models: with applications using R

Congdon, Peter D

Second edition., 2019

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Applied Bayesian Modelling

Congdon, Peter

1. Aufl., 2003

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The insignificant evolution of the richness-mass relation of galaxy clusters

Astronomy and astrophysics (Berlin), 2014-08, Vol.568, p.1-6

2014

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Bayesian Models for Categorical Data

Congdon, Peter

1. Aufl., 2005

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Identifying extreme COVID-19 mortality risks in English small areas: a disease cluster approach

Stochastic environmental research and risk assessment, 2022-10, Vol.36 (10), p.2995-3010

2022

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Does depression diagnosis and antidepressant prescribing vary by location? Analysis of ethnic density associations using a large primary-care dataset

Psychological medicine, 2016-04, Vol.46 (6), p.1321-1329

2016

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Closing the gap: Raising medical professionals' transgender awareness and medical proficiency through pharmacist-led education

The mental health clinician, 2021-01, Vol.11 (1), p.1-5

2021

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Applied Bayesian Modelling

Congdon, Peter

Second edition., 2014

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Bayesian modelling strategies for spatially varying regression coefficients: A multivariate perspective for multiple outcomes

Computational statistics & data analysis, 2007-02, Vol.51 (5), p.2586-2601

Congdon, P.

2007

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Bayesian predictive model comparison via parallel sampling

Computational statistics & data analysis, 2005-04, Vol.48 (4), p.735-753

Congdon, P.

2005

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Area effects on health variation over the life-course: analysis of the longitudinal study sample in England using new data on area of residence in childhood

Social science & medicine (1982), 2004, Vol.58 (1), p.57-74

2004

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Commentary: Contextual effects: index construction and technique

International journal of epidemiology, 2004-08, Vol.33 (4), p.741-742

Congdon, Peter

2004

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The ecological relationship between deprivation, social isolation and rates of hospital admission for acute psychiatric care: a comparison of London and New York City

Health & place, 2006-03, Vol.12 (1), p.19-37

2006

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Modelling spatially varying impacts of socioeconomic predictors on mortality outcomes

Journal of geographical systems, 2003-08, Vol.5 (2), p.161-184

CONGDON, P

2003

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Size and strength : do we need both to measure vocabulary knowledge?

Language testing, 2004-04, Vol.21 (2), p.202-226

2004

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A spatial random-effects model for interzone flows: commuting in Northern Ireland

Journal of applied statistics, 2012-01, Vol.39 (1), p.199-213

2012

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Bayesian Statistical Modelling

Congdon, Peter

2. Aufl., 2007

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A Bayesian Approach to Prediction Using the Gravity Model, with an Application to Patient Flow Modeling

Geographical analysis, 2000-07, Vol.32 (3), p.205-224

Congdon, Peter

2000

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Bayesian model choice based on Monte Carlo estimates of posterior model probabilities

Computational statistics & data analysis, 2006-01, Vol.50 (2), p.346-357

Congdon, Peter

2006

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Affluence and deprivation in contemporary London: A ward level classification

1991

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Estimating diabetes prevalence by small area in England

Journal of public health (Oxford, England), 2006-03, Vol.28 (1), p.71-81

Congdon, Peter

2006

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Small area variations in infant mortality in England and Wales in the inter-war period and their link with socio-economic factors

Health & place, 2004-12, Vol.10 (4), p.363-382

2004

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Trends in inequality in infant mortality in the north of England, 1921-1973, and their association with urban and social structure

Journal of the Royal Statistical Society. Series A, Statistics in society, 2005-01, Vol.168 (4), p.679-700

2005

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A multilevel model for comorbid outcomes: obesity and diabetes in the US

International journal of environmental research and public health, 2010-02, Vol.7 (2), p.333-352

Congdon, Peter

2010

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Estimating prevalence of coronary heart disease for small areas using collateral indicators of morbidity

International journal of environmental research and public health, 2010-01, Vol.7 (1), p.164-177

Congdon, Peter

2010

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Bayesian hierarchical models: with applications using R

Applied Bayesian Modelling

The insignificant evolution of the richness-mass relation of galaxy clusters

Bayesian Models for Categorical Data

Identifying extreme COVID-19 mortality risks in English small areas: a disease cluster approach

Does depression diagnosis and antidepressant prescribing vary by location? Analysis of ethnic density associations using a large primary-care dataset

Closing the gap: Raising medical professionals' transgender awareness and medical proficiency through pharmacist-led education

Applied Bayesian Modelling

Bayesian modelling strategies for spatially varying regression coefficients: A multivariate perspective for multiple outcomes

Bayesian predictive model comparison via parallel sampling

Area effects on health variation over the life-course: analysis of the longitudinal study sample in England using new data on area of residence in childhood

Commentary: Contextual effects: index construction and technique

The ecological relationship between deprivation, social isolation and rates of hospital admission for acute psychiatric care: a comparison of London and New York City

Modelling spatially varying impacts of socioeconomic predictors on mortality outcomes

Size and strength : do we need both to measure vocabulary knowledge?

A spatial random-effects model for interzone flows: commuting in Northern Ireland

Bayesian Statistical Modelling

A Bayesian Approach to Prediction Using the Gravity Model, with an Application to Patient Flow Modeling

Bayesian model choice based on Monte Carlo estimates of posterior model probabilities

Affluence and deprivation in contemporary London: A ward level classification

Estimating diabetes prevalence by small area in England

Small area variations in infant mortality in England and Wales in the inter-war period and their link with socio-economic factors

Trends in inequality in infant mortality in the north of England, 1921-1973, and their association with urban and social structure

A multilevel model for comorbid outcomes: obesity and diabetes in the US

Estimating prevalence of coronary heart disease for small areas using collateral indicators of morbidity

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