Books written by Andrew B. Lawson

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  Disease Mapping with WinBUGS and MLwiN

  It is possible to calculate exact maximum likelihood estimates by using Gauss - Hermite quadrature estimation ( see , for example , Hedeker and Gibbons , 1994 , and Rabe - Hesketh et al . , 2001 ) but typically these methods are time ...

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  Bayesian Disease Mapping: Hierarchical Modeling in Spatial Epidemiology, Second Edition

  Little, R. and D. Rubin (2002). Statistical Analysis with Missing Data. New York: Wiley. ... Lunn, D. Jackson, C., Best, N., Thomas A., Spiegethaltes, D. (2012). The BUGS book CRC Press, New York. Ma., B., A. B. Lawson, ...

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  Disease Mapping with WinBUGS and MLwiN

  Neal, R. (1998). Suppressing random walks in Markov chain Monte Carlo using ordered over-relaxation. In M. I. Jordan (Ed.), Learning in Graphical Models. Dordrecht: Kluwer Academic Publishers. Neal, R. M. (2003). Slice sampling.

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  Using R for Bayesian Spatial and Spatio-Temporal Health Modeling

  Berchuck, S., M. Janko, F. Medeiros, W. Pan, and S. Mukherjee (2019). Bayesian non-parametric factor analysis for longitudinal spatial surfaces. arxiv:1911.04337v1. prepub. Berman, M. and T. R. Turner (1992).

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  Statistical Methods in Spatial Epidemiology

  This second edition of Statistical Methods in Spatial Epidemiology is updated and expanded to offer a complete coverage of the analysis and application of spatial statistical methods.

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  Bayesian Disease Mapping: Hierarchical Modeling in Spatial Epidemiology

  The book explores a range of topics in Bayesian inference and

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  Bayesian Disease Mapping: Hierarchical Modeling in Spatial Epidemiology, Third Edition

  The target audience for this text is public health specialists, epidemiologists, and biostatisticians who need to work with geo-referenced health data.

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  Bayesian Biostatistics

  Master students in biostatistics, applied statisticians and all researchers with a good background in classical statistics who have interest in Bayesian methods will find this book useful.

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  Spatial and Syndromic Surveillance for Public Health

  Lawson, A.B., Biggeri, A. and Dreassi, E. (1999) Edge effects in disease mapping. ... Chichester: John Wiley & Sons, Ltd. Lawson, A.B., Browne, W.J. and Vidal-Rodeiro, C.L. (2003) Disease Mapping with WinBUGS and MLwiN.

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  Handbook of Spatial Epidemiology

  Bayesian detection of clusters and discontinuities in disease maps. Biometrics 56, 13–21. ... Modelling disease incidence data with spatial and spatio-temporal Dirichlet process mixtures. ... Disease Mapping with WinBUGS and MLwiN.

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  Bayesian Biostatistics

  Lawson A 2009Bayesian Disease Mapping: Hierarchical Modeling in Spatial Epidemiology. Chapmand and Hall/CRC, New York. ... Lawson A, Browne W and Vidal Rodeiro C 2003 Disease Mapping with WinBUGS and MLwiN, v2.10.

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  Bayesian Disease Mapping: Hierarchical Modeling in Spatial Epidemiology, Third Edition

  Since the publication of the second edition, many new Bayesian tools and methods have been developed for space-time data analysis, the predictive modeling of health outcomes, and other spatial biostatistical areas.

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  Bayesian Disease Mapping: Hierarchical Modeling in Spatial Epidemiology, Third Edition

  The target audience for this text is public health specialists, epidemiologists, and biostatisticians who need to work with geo-referenced health data.