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Applying Quantitative Bias Analysis to Epidemiologic Data

Timothy L. Lash, Matthew P. Fox & Aliza K. Fink

Applying Quantitative Bias Analysis to Epidemiologic Data
Applying Quantitative Bias Analysis to Epidemiologic Data

Applying Quantitative Bias Analysis to Epidemiologic Data

Timothy L. Lash, Matthew P. Fox & Aliza K. Fink

Hardback / bound | English
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Description

Bias analysis quantifies the influence of systematic error on an epidemiology study’s estimate of association. More recent advances in bias analysis, such as probabilistic bias analysis, appear even more rarely.

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)

Specifications

  • Publisher
    Springer-Verlag New York Inc.
  • Pub date
    May 2009
  • Theme
    Public health and preventive medicine
  • Dimensions
    235 x 155 mm
  • Weight
    1040 gram
  • EAN
    9780387879604
  • Hardback / bound
    Hardback / bound
  • Language
    English

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