Bayesian Disease Mapping: Hierarchical Modeling in Spatial Epidemiology, Third Edition (Chapman & Hall/CRC Interdisciplinary Statistics) - Tapa dura

Libro 34 de 45: Chapman & Hall/CRC Interdisciplinary Statistics

Lawson, Andrew B.

 
9781138575424: Bayesian Disease Mapping: Hierarchical Modeling in Spatial Epidemiology, Third Edition (Chapman & Hall/CRC Interdisciplinary Statistics)
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ISBN 10: 1138575429 ISBN 13: 9781138575424
Editorial: Chapman and Hall/CRC, 2018

Sinopsis

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. Exploring these new developments, the third edition provides an up-to-date, cohesive account of the full range of Bayesian disease mapping methods and applications.

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Acerca del autor

Andrew B. Lawson is a professor of biostatistics and eminent scholar in the Division of Biostatistics and Epidemiology in the College of Medicine at the Medical University of South Carolina. He is an ASA fellow and an advisor in disease mapping and risk assessment for the World Health Organization. Dr. Lawson has published over 100 journal papers and eight books and is the founding editor of Spatial and Spatio-temporal Epidemiology. He received a PhD in spatial statistics from the University of St. Andrews. His research interests include the analysis of clustered disease maps, spatial and spatio-temporal disease surveillance, nutritional measurement error, and Bayesian latent variable and SEM modeling.

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Editorial
Chapman and Hall/CRC
Año de publicación
2018
Idioma
Inglés
ISBN 10 
1138575429
ISBN 13 
9781138575424
Encuadernación
Tapa dura
Número de edición
3
Número de páginas
488
Contacto del fabricante
no disponible
Persona responsable
no disponible

Otras ediciones populares con el mismo título

9780367781224: Bayesian Disease Mapping: Hierarchical Modeling in Spatial Epidemiology, Third Edition (Chapman & Hall/CRC Interdisciplinary Statistics)

Edición Destacada

ISBN 10:  0367781220 ISBN 13:  9780367781224
Editorial: Routledge, 2021
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