From the contents: Introduction.- Cohort analysis.- Cohort studies: history of the method.- The changing assessments of John Snow's and William Farr's cholera studies.- Changing images of John Snow in the history of epidemiology.- Methods of outbreak investigation in the 'Era of Bacteriology' 1880-1920.- Constructing vital statistics: Thomas Rowe Edmonds and William Farr, 1835-1845.- Statistical methods in epidemiology: Karl Pearson, Ronald Ross, Major Greenwood and Austin Bradford Hill, 1900-1945.- History of bias.- The history of confounding.- Origins and early development of the case-control study: A short history of pathology registries, with emphasis on cancer registries.- Causality in epidemiology.- Issues of causality in the history of occupational epidemiology.
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Morabia’s essay is fascinating. He is one of the very few practicing epidemiologists with a deep interest in the history of epidemiologic methods. The particular combination of his interests gives a special credibility to his essay, which describes how epidemiologic thinking has developed from the 18th century around two key ideas: concepts concerned with populations and group comparisons – the hallmarks of modern epidemiology. (Bulletin of the World Health Organisation) Morabia’s approach is didactic, combining historical snippets with lessons on epidemiology. (American Journal of Epidemiology) …one of those few books whose reading is ‘pleasantly unavoidable’… Very likely to become one of the most important epidemiological books published in the present decade. (European Epidemiology Federation) Morabia's approach is not only highly educational, but also a gripping read and should fascinate everybody who is concerned with epidemiology, public health, or history of medicine. Furthermore, this book will certainly be inevitable for teachers and students of public health since it offers a great variety of educational material for courses in medicine and epidemiology. Taken together, this book is highly valuable and will hopefully soon become a modern classic. (Biometrics)
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