Screen LibraryDisease mapping with WinBUGS and MLwiN
There is a real need amongst public health workers for simpler and more efficient tools for the analysis of geo-referenced disease incidence data. Bayesian and multilevel methods provide efficiency, and with the emergence of software packages - such as WINBUGS and MLWin - are now easy to implement i...
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| Main Authors: | |
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| Group Author: | ; |
| Published: |
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| Literature type: | Electronic eBook |
| Language: | English |
| Series: |
Statistics in practice
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| Subjects: | |
| Online Access: |
http://onlinelibrary.wiley.com/book/10.1002/0470856068 |
| Summary: |
There is a real need amongst public health workers for simpler and more efficient tools for the analysis of geo-referenced disease incidence data. Bayesian and multilevel methods provide efficiency, and with the emergence of software packages - such as WINBUGS and MLWin - are now easy to implement in practice. This book provides an introduction to Bayesian and multilevel modelling of disease incidence data, with a focus on practical issues. It features three detailed applications, and discussion of software is integrated into the text. |
| Carrier Form: | 1 online resource (vii, 277 pages). |
| Bibliography: | Includes bibliographical references (pages 267-273) and index. |
| ISBN: |
047085605X 9780470856055 0470856041 9780470856048 0470856068 9780470856062 |
| Index Number: | RA792 |
| CLC: | R188 |
| Contents: | Disease mapping basics -- Bayesian hierarchical modelling -- Multilevel modelling -- WinBUGS basics -- MLwiN basics -- Relative risk estimation -- Focused clustering: the analysis of putative health hazards -- Ecological analysis -- Spatially-correlated survival analysis -- Epilogue -- Appendix 1: WinBUGS code for focused clustering models -- Appendix 2: S-Plus function for conversion to GeoBUGS format. |