Quantitative epidemiology: Progress and challenges

This manuscript is derived from a presentation at the 2006 AVEPM – Schwabe Symposium which honoured the 2006 recipient of the Calvin Schwabe Award – Dr. S. Wayne Martin. Throughout his career, Dr. Martin was instrumental in furthering the development of quantitative epidemiology. This manuscript hig...

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Bibliographic Details
Published in:Preventive veterinary medicine 2008-09, Vol.86 (3), p.260-269
Main Author: Dohoo, Ian R.
Format: Article
Language:English
Subjects:
animal diseases
Animal Diseases - epidemiology
Animals
Bayesian
Bayesian theory
Causal inference
causal thinking
Cluster Analysis
Clustered data
disease transmission
Epidemiologic Methods - veterinary
epidemiological studies
Epidemiology
Hierarchical
hierarchical data
infectious diseases
literature reviews
Models, Biological
Models, Statistical
prediction
probabilistic models
probability analysis
quantitative epidemiology
Quantitative methods
risk assessment
Survival
survival analysis
variance
veterinary medicine
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Summary:This manuscript is derived from a presentation at the 2006 AVEPM – Schwabe Symposium which honoured the 2006 recipient of the Calvin Schwabe Award – Dr. S. Wayne Martin. Throughout his career, Dr. Martin was instrumental in furthering the development of quantitative epidemiology. This manuscript highlights some of the recent advances in quantitative methods used in veterinary epidemiology and identifies some of the challenges we still face in the use of these methods. Areas discussed are: methods for analyzing hierarchical data, Bayesian methods, survival analysis and integrating causal thinking and statistical analyses.
ISSN:0167-5877
1873-1716
DOI:10.1016/j.prevetmed.2008.02.012