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Library,Documentation and Information Science Division

“A research journal serves that narrow

borderland which separates the known from the unknown”

-P.C.Mahalanobis


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Statistical epidemiology / Graham R. Law and Shane W. Pascoe.

By: Contributor(s): Material type: TextTextPublication details: Wallingford, Oxfordshire ; CABI, 2013.Description: x, 221 p. : illustrations ; 26 cmISBN:
  • 9781845937966 (pbk. : alk. paper)
Subject(s): DDC classification:
  • 000SB:614.4 23 L415
Contents:
1. Foundations of epidemiology -- 2. Cause and effect -- 3. An epidemiologist's toolkit -- 4. Dealing with the numbers -- 5. What can go wrong : error, bias, and confounding-- References-- Index.
Summary: This book 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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Holdings
Item type Current library Call number Status Date due Barcode Item holds
Books ISI Library, Kolkata 000SB:614.4 L415 (Browse shelf(Opens below)) Available 136418
Total holds: 0

Includes bibliographical references and index.

1. Foundations of epidemiology --
2. Cause and effect --
3. An epidemiologist's toolkit --
4. Dealing with the numbers --
5. What can go wrong : error, bias, and confounding--
References--
Index.

This book 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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