Applying Quantitative Bias Analysis to Epidemiologic Data / Edition 1

Applying Quantitative Bias Analysis to Epidemiologic Data / Edition 1

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

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ISBN-10: 1441927743

ISBN-13: 9781441927743

Pub. Date: 12/06/2010

Publisher: Springer New York

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

Overview

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.

Product Details

ISBN-13:
9781441927743
Publisher:
Springer New York
Publication date:
12/06/2010
Series:
Statistics for Biology and Health Series
Edition description:
Softcover reprint of hardcover 1st ed. 2009
Pages:
192
Product dimensions:
6.10(w) x 9.25(h) x 0.02(d)

Table of Contents

Introduction, Objectives, and an Alternative.- A Guide to Implementing Quantitative Bias Analysis.- Data Sources for Bias Analysis.- Selection Bias.- Unmeasured and Unknown Confounders.- Misclassification.- Multidimensional Bias Analysis.- Probabilistic Bias Analysis.- Multiple Bias Modeling.- Presentation and Inference.

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