Epidemiology : study design and data analysis / Mark Woodward.

Author
Woodward, M. (Mark) [Browse]
Format
Book
Language
English
Εdition
2nd ed.
Published/​Created
Boca Raton : Chapman & Hall/CRC, [2005], ©2005.
Description
xxii, 849 pages : illustrations ; 25 cm.

Availability

Copies in the Library

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ReCAP - Remote StorageRA652.2.M3 W66 2005 Browse related items Request

    Details

    Subject(s)
    Series
    • Texts in statistical science. [More in this series]
    • Chapman & Hall/CRC texts in statistical science series
    Summary note
    "Building an up-to-date understanding of the methodologies that can be used to shape public health policies, Epidemiology: Study Design and Data Analysis, Second Edition encompasses the study of epidemiology from the observation of associations between risk factors and disease to the use of practical, data-supported analyses. It presents study design commonly used for a wide range of purposes, and covers the spectrum of statistical principles and analytical tools used in epidemiological research, such as techniques used in report writing, descriptive analyses, statistical models and synthesis of evidence." "The second edition of a popular textbook, this book emphasizes quantitative and design aspects of epidemiological research. The author favors the use of basic mathematics and practical methods over complicated mathematical proofs, making this an ideal textbook that is comprehensive yet accessible to graduate students in epidemiology, statistics, public health studies, and/or medical research."--BOOK JACKET.
    Bibliographic references
    Includes bibliographical references (p. [807]-827) and index.
    Contents
    • 1. Fundamental issues
    • 2. Basic analytical procedures
    • 3. Assessing risk factors
    • 4. Confounding and interaction
    • 5. Cohort studies
    • 6. Case-control studies
    • 7. Intervention studies
    • 8. Sample size determination
    • 9. Modelling quantitative outcome variables
    • 10. Modelling binary outcome data
    • 11. Modelling follow-up data
    • 12. Meta-analysis.
    ISBN
    1584884150 (alk. paper)
    LCCN
    2004049425
    OCLC
    55008378
    RCP
    C - S
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    Supplementary Information