Handbook of Spatial Epidemiology by Andrew B Lawson
This handbook explains how to model epidemiological problems and improve inference about disease etiology from a geographical perspective. Top epidemiologists, geographers, and statisticians share interdisciplinary viewpoints on analyzing spatial data and space-time variations in disease incidences. The book explores the use of GIS and spatial s-
Handbook of Statistics of Extremes
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Handbook of Markov Chain Monte Carlo
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Handbook of Statistical Methods for Case-Control Studies
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Handbook of Meta-Analysis
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Handbook of Mixture Analysis
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Handbook of Graphical Models
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Handbook of Environmental and Ecological Statistics
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Handbook of Neuroimaging Data Analysis
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Handbook of Bayesian Variable Selection
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Handbook of Survival Analysis
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Handbook of Statistical Methods for Randomized Controlled Trials
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Handbook of Quantile Regression
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Handbook of Cluster Analysis
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Handbook of Design and Analysis of Experiments
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Handbook of Forensic Statistics
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Handbook of Methods for Designing, Monitoring, and Analyzing Dose-Finding Trials
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Handbook of Infectious Disease Data Analysis
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Handbook of Approximate Bayesian Computation
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Handbook of Spatial Statistics
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Handbook of Missing Data Methodology
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Handbook of Generalized Pairwise Comparisons
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Handbook of Sharing Confidential Data
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Handbook of Statistical Methods for Precision Medicine
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Handbook of Multiple Comparisons
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Handbook of Discrete-Valued Time Series
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Handbook of Measurement Error Models
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Handbook of Bayesian, Fiducial, and Frequentist Inference
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Longitudinal Data Analysis
| SKU | Unavailable |
| ISBN 13 | |
| ISBN 10 | |
| Title | Handbook of Spatial Epidemiology |
| Author | Andrew B Lawson |
| Series | |
| Condition | Unavailable |
| Binding Type | |
| Publisher | |
| Year published | |
| Number of pages | |
| Cover note | Book picture is for illustrative purposes only, actual binding, cover or edition may vary. |
| Note | Unavailable |
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Disease Mapping with WinBUGS and MLwiN
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Bayesian Disease Mapping
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Disease Mapping and Risk Assessment for Public Health
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An Introductory Guide to Disease Mapping
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Spatial and Syndromic Surveillance for Public Health
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Statistical Methods in Spatial Epidemiology
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Using R for Bayesian Spatial and Spatio-Temporal Health Modeling
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