Book description
Teaches Students How to Perform Spatio-Temporal Analyses within Epidemiological StudiesSpatio-Temporal Methods in Environmental Epidemiology is the first book of its kind to specifically address the interface between environmental epidemiology and spatio-temporal modeling. In response to the growing need for collaboration between statisticians and
Table of contents
- Front Cover (1/2)
- Front Cover (2/2)
- Dedication
- Contents (1/2)
- Contents (2/2)
- List of Figures (1/2)
- List of Figures (2/2)
- List of Tables
- Preface
- Abbreviations
- The Authors
- Chapter 1 - Why spatio–temporal epidemiology? (1/4)
- Chapter 1 - Why spatio–temporal epidemiology? (2/4)
- Chapter 1 - Why spatio–temporal epidemiology? (3/4)
- Chapter 1 - Why spatio–temporal epidemiology? (4/4)
- Chapter 2 - Modelling health risks (1/6)
- Chapter 2 - Modelling health risks (2/6)
- Chapter 2 - Modelling health risks (3/6)
- Chapter 2 - Modelling health risks (4/6)
- Chapter 2 - Modelling health risks (5/6)
- Chapter 2 - Modelling health risks (6/6)
- Chapter 3 - The importance of uncertainty (1/3)
- Chapter 3 - The importance of uncertainty (2/3)
- Chapter 3 - The importance of uncertainty (3/3)
- Chapter 4 - Embracing uncertainty: the Bayesian approach (1/3)
- Chapter 4 - Embracing uncertainty: the Bayesian approach (2/3)
- Chapter 4 - Embracing uncertainty: the Bayesian approach (3/3)
- Chapter 5 - The Bayesian approach in practice (1/4)
- Chapter 5 - The Bayesian approach in practice (2/4)
- Chapter 5 - The Bayesian approach in practice (3/4)
- Chapter 5 - The Bayesian approach in practice (4/4)
- Chapter 6 - Strategies for modelling (1/6)
- Chapter 6 - Strategies for modelling (2/6)
- Chapter 6 - Strategies for modelling (3/6)
- Chapter 6 - Strategies for modelling (4/6)
- Chapter 6 - Strategies for modelling (5/6)
- Chapter 6 - Strategies for modelling (6/6)
- Chapter 7 - Is ‘real’ data always quite so real? (1/4)
- Chapter 7 - Is ‘real’ data always quite so real? (2/4)
- Chapter 7 - Is ‘real’ data always quite so real? (3/4)
- Chapter 7 - Is ‘real’ data always quite so real? (4/4)
- Chapter 8 - Spatial patterns in disease (1/4)
- Chapter 8 - Spatial patterns in disease (2/4)
- Chapter 8 - Spatial patterns in disease (3/4)
- Chapter 8 - Spatial patterns in disease (4/4)
- Chapter 9 - From points to fields: modelling environmental hazards over space (1/9)
- Chapter 9 - From points to fields: modelling environmental hazards over space (2/9)
- Chapter 9 - From points to fields: modelling environmental hazards over space (3/9)
- Chapter 9 - From points to fields: modelling environmental hazards over space (4/9)
- Chapter 9 - From points to fields: modelling environmental hazards over space (5/9)
- Chapter 9 - From points to fields: modelling environmental hazards over space (6/9)
- Chapter 9 - From points to fields: modelling environmental hazards over space (7/9)
- Chapter 9 - From points to fields: modelling environmental hazards over space (8/9)
- Chapter 9 - From points to fields: modelling environmental hazards over space (9/9)
- Chapter 10 - Why time also matters (1/6)
- Chapter 10 - Why time also matters (2/6)
- Chapter 10 - Why time also matters (3/6)
- Chapter 10 - Why time also matters (4/6)
- Chapter 10 - Why time also matters (5/6)
- Chapter 10 - Why time also matters (6/6)
- Chapter 11 - The interplay between space and time in exposure assessment (1/5)
- Chapter 11 - The interplay between space and time in exposure assessment (2/5)
- Chapter 11 - The interplay between space and time in exposure assessment (3/5)
- Chapter 11 - The interplay between space and time in exposure assessment (4/5)
- Chapter 11 - The interplay between space and time in exposure assessment (5/5)
- Chapter 12 - Roadblocks on the way to causality: exposure pathways, aggregation and other sources of bias (1/4)
- Chapter 12 - Roadblocks on the way to causality: exposure pathways, aggregation and other sources of bias (2/4)
- Chapter 12 - Roadblocks on the way to causality: exposure pathways, aggregation and other sources of bias (3/4)
- Chapter 12 - Roadblocks on the way to causality: exposure pathways, aggregation and other sources of bias (4/4)
- Chapter 13 - Better exposure measurements through better design (1/6)
- Chapter 13 - Better exposure measurements through better design (2/6)
- Chapter 13 - Better exposure measurements through better design (3/6)
- Chapter 13 - Better exposure measurements through better design (4/6)
- Chapter 13 - Better exposure measurements through better design (5/6)
- Chapter 13 - Better exposure measurements through better design (6/6)
- Chapter 14 - New Frontiers (1/4)
- Chapter 14 - New Frontiers (2/4)
- Chapter 14 - New Frontiers (3/4)
- Chapter 14 - New Frontiers (4/4)
- Appendix 1 - Distribution theory (1/2)
- Appendix 1 - Distribution theory (2/2)
- Appendix 2 - Entropy decomposition
- References (1/5)
- References (2/5)
- References (3/5)
- References (4/5)
- References (5/5)
- Back Cover
Product information
- Title: Spatio-Temporal Methods in Environmental Epidemiology
- Author(s):
- Release date: June 2015
- Publisher(s): Chapman and Hall/CRC
- ISBN: 9781482237047
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