| #3428887 in Books | Chapman and Hall/CRC | 2008-08-05 | Original language:English | PDF # 1 | 9.21 x.81 x6.14l,1.40 | File Name: 1584888407 | 362 pages |
||1 of 2 people found the following review helpful.| Interesting book|By Jean Vaillant|This book provides interesting elements about quantitative methods in epidemiology for master students or researchers. it is quite easy to read when you have some basic background in statistics. Nethetheless, the quality of the fonts is not the best, and there are some surprising typing errors even in early pages as the one about "list of tabl||This book provides a technical grounding in spatial models while maintaining a strong grasp on applied epidemiological problems. … A welcome effort is made to clarify concepts which might, in other texts, have been skimmed over in a rush to fit models.
Focusing on data commonly found in public health databases and clinical settings, Bayesian Disease Mapping: Hierarchical Modeling in Spatial Epidemiology provides an overview of the main areas of Bayesian hierarchical modeling and its application to the geographical analysis of disease.
The book explores a range of topics in Bayesian inference and modeling, including Markov chain Monte Carlo methods, Gibbs sampling, the Metropolis–Hastings alg...
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You easily download any file type for your gadget.Bayesian Disease Mapping: Hierarchical Modeling in Spatial Epidemiology (Chapman & Hall/CRC Interdisciplinary Statistics) | Andrew B. Lawson. I was recommended this book by a dear friend of mine.
