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Statistics for Biology and Health

Applying Quantitative Bias Analysis to Epidemiologic Data

Authors: Lash, Timothy L., Fox, Matthew P., Fink, Aliza K.

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  • Collects and synthesizes methods for quantifiying systematic errors that affect observational epidemiologic research

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eBook $89.00
price for USA in USD (gross)
  • ISBN 978-0-387-87959-8
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $139.99
price for USA in USD
  • ISBN 978-0-387-87960-4
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $119.99
price for USA in USD
  • ISBN 978-1-4419-2774-3
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
About this book

This text provides the first-ever compilation of bias analysis methods for use with epidemiologic data. It guides the reader through the planning stages of bias analysis, including the design of validation studies and the collection of validity data from other sources. Three chapters present methods for corrections to address selection bias, uncontrolled confounding, and classification errors. Subsequent chapters extend these methods to multidimensional bias analysis, probabilistic bias analysis, and multiple bias analysis. The text concludes with a chapter on presentation and interpretation of bias analysis results.

Although techniques for bias analysis have been available for decades, these methods are considered difficult to implement. This text not only gathers the methods into one cohesive and organized presentation, it also explains the methods in a consistent fashion and provides customizable spreadsheets to implement the solutions. By downloading the spreadsheets (available at links provided in the text), readers can follow the examples in the text and then modify the spreadsheet to complete their own bias analyses. Readers without experience using quantitative bias analysis will be able to design, implement, and understand bias analyses that address the major threats to the validity of epidemiologic research. More experienced analysts will value the compilation of bias analysis methods and links to software tools that facilitate their projects.

Timothy L. Lash is an Associate Professor of Epidemiology and Matthew P. Fox is an Assistant Professor in the Center for International Health and Development, both at the Boston University School of Public Health. Aliza K. Fink is a Project Manager at Macro International in Bethesda, Maryland. Together they have organized and presented many day-long workshops on the methods of quantitative bias analysis. In addition, they have collaborated on many papers that developed methods of quantitative bias analysis or used the methods in the data analysis.

Reviews

From the reviews:

"This is the first book to focus on a compilation of bias analysis methods from the epidemiologic perspective. … Throughout this well-written book, examples presented are highly informative and easy to follow for the target audience of students and public health researchers with a foundation in epidemiologic study design and methods. … this book can be used either as a reference work by practicing epidemiologists or as a textbook for an intermediate-to-advanced course in epidemiologic methods." (Chanelle J. Howe and Stephen R. Cole, American Journal of Epidemiology, Vol. 170 (10), November, 2009)

“Applying Quantitative Bias Analysis to Epidemiologic Data is the first text of its kind to give a comprehensive overview of the field. ..This book fills an important gap among epidemiology texts. It provides a unified reference for the myriad of bias analysis methods that appear in the literature. It is broad and thorough in scope, and yet easily accessible…” (Biometrics)

Table of contents (10 chapters)

Table of contents (10 chapters)
  • Introduction, Objectives, and an Alternative

    Pages 1-12

    Lash, Timothy L. (et al.)

  • A Guide to Implementing Quantitative Bias Analysis

    Pages 13-32

    Lash, Timothy L. (et al.)

  • Data Sources for Bias Analysis

    Pages 33-41

    Lash, Timothy L. (et al.)

  • Selection Bias

    Pages 43-57

    Lash, Timothy L. (et al.)

  • Unmeasured and Unknown Confounders

    Pages 59-78

    Lash, Timothy L. (et al.)

Buy this book

eBook $89.00
price for USA in USD (gross)
  • ISBN 978-0-387-87959-8
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $139.99
price for USA in USD
  • ISBN 978-0-387-87960-4
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $119.99
price for USA in USD
  • ISBN 978-1-4419-2774-3
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Applying Quantitative Bias Analysis to Epidemiologic Data
Authors
Series Title
Statistics for Biology and Health
Copyright
2009
Publisher
Springer-Verlag New York
Copyright Holder
Springer-Verlag New York
eBook ISBN
978-0-387-87959-8
DOI
10.1007/978-0-387-87959-8
Hardcover ISBN
978-0-387-87960-4
Softcover ISBN
978-1-4419-2774-3
Series ISSN
1431-8776
Edition Number
1
Number of Pages
XII, 192
Topics