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Statistical Epidemiology

By: Law, Graham R.
Contributor(s): Pascoe, Shane W.
Material type: materialTypeLabelBookPublisher: [S.l.] : CABI, 2013Edition: 1st ed.Description: 232 p.ISBN: 1845937961 (paperback); 9781845937966 (paperback).DDC classification: 614.40727 Law 2013 Epidemiology Summary: Statistics are a vital skill for epidemiologists and form an essential part of clinical medicine. This textbook introduces students to statistical epidemiology methods in a carefully structured and accessible format with clearly defined learning outcomes and suggested chapter orders that can be tailored to the needs of students at both undergraduate and graduate level from a range of academic backgrounds. The book covers study design, disease measuring, bias, error, analysis and modeling and is illustrated with figures, focus boxes, study questions and examples applicable to everyday clinical problems. Drawing on the authors' extensive teaching experience, the text provides an introduction to core statistical epidemiology that will be a valuable resource for students and lecturers in health and medical sciences and applied statistics, health staff, clinical researchers and data managers.
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Item type Current location Collection Call number Status Date due Barcode Item holds
Books Books UVAS Library
Epid. & Public Health
Veterinary Science 614.40727 Law 1st 2013 30070 Epidemiology (Browse shelf) Available 30070
Books Books UVAS Library
Epid. & Public Health
Veterinary Science 614.40727 Law 1st 2013 30071 Epidemiology (Browse shelf) Available 30071
Total holds: 0

Statistics are a vital skill for epidemiologists and form an essential part of clinical medicine. This textbook introduces students to statistical epidemiology methods in a carefully structured and accessible format with clearly defined learning outcomes and suggested chapter orders that can be tailored to the needs of students at both undergraduate and graduate level from a range of academic backgrounds. The book covers study design, disease measuring, bias, error, analysis and modeling and is illustrated with figures, focus boxes, study questions and examples applicable to everyday clinical problems. Drawing on the authors' extensive teaching experience, the text provides an introduction to core statistical epidemiology that will be a valuable resource for students and lecturers in health and medical sciences and applied statistics, health staff, clinical researchers and data managers.

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