Applying Quantitative Bias Analysis to Epidemiologic Data

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

Write A Review

Hardcover | 12 May 2009

At a Glance

Hardcover
208 Pages

Dimensions(cm)
23.5 x 15.88 x 0.64

New Edition

Published: 25th March 2022

Hardcover

$179.75

or 4 interest-free payments of $44.94 with

Ships in 5 to 7 business days

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.

Industry 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)

Shipping

	Standard Shipping	Express Shipping
Metro postcodes:	$9.99	$14.95
Regional postcodes:	$9.99	$14.95
Rural postcodes:	$9.99	$14.95

Orders over $79.00 qualify for free shipping.

How to return your order

At Booktopia, we offer hassle-free returns in accordance with our returns policy. If you wish to return an item, please get in touch with Booktopia Customer Care.

Additional postage charges may be applicable.

Defective items

If there is a problem with any of the items received for your order then the Booktopia Customer Care team is ready to assist you.

For more info please visit our Help Centre.

You Can Find This Book In

Non-Fiction Computing & I.T.Business Applications Spreadsheet Software Medicine Medicine in General Public Health & Preventive Medicine Epidemiology & Medical Statistics Clinical & Internal Medicine Diseases & Disorders Infectious & Contagious Diseases Graphical & Digital Media Applications

3D Graphics & Modelling Sociology & Anthropology Sociology Social Research & Statistics

Introduction, Objectives, and an Alternative	p. 1
Introduction	p. 1
Nonrandomized Epidemiologic Research	p. 1
The Treatment of Uncertainty in Nonrandomized Research	p. 2
Objective	p. 3
An Alternative	p. 4
Heuristics	p. 5
Conclusion	p. 10
A Guide to Implementing Quantitative Bias Analysis	p. 13
Introduction	p. 13
Reducing Error	p. 13
Reducing Error by Design	p. 14
Reducing Error in the Analysis	p. 16
Quantifying Error	p. 18
When Is Quantitative Bias Analysis Valuable?	p. 18
Planning for Bias Analysis	p. 20
Creating a Data Collection Plan for Bias Analysis	p. 22
Creating an Analytic Plan for a Bias Analysis	p. 24
Bias Analysis Techniques	p. 27
A Note on Inference	p. 31
Conclusion	p. 32
Data Sources for Bias Analysis	p. 33
Bias Parameters	p. 33
Internal Data Sources	p. 33
Selection Bias	p. 34
Unmeasured Confounder	p. 34
Information Bias	p. 35
Limitations of Internal Validation Studies	p. 36
External Data Sources	p. 37
Selection Bias	p. 38
Unmeasured Confounder	p. 39
Information Bias	p. 40
Summary	p. 41
Selection Bias	p. 43
Introduction	p. 43
Definitions and Terms	p. 45
Conceptual	p. 45
Motivation for Bias Analysis	p. 48
Sources of Data	p. 48
Simple Correction for Differential Initial Participation	p. 49
Example	p. 49
Introduction to Correction	p. 50
Correction by Projecting the Exposed Proportion Among Nonparticipants	p. 51
Correction Using Selection Proportions	p. 52
Simple Correction for Differential Loss-to-Follow-up	p. 54
Example	p. 54
Correction	p. 55
Unmeasured and Unknown Confounders	p. 59
Introduction	p. 59
Definition and Terms	p. 60
Conceptual	p. 60
Motivation for Bias Analysis	p. 61
Sources of Data	p. 62
Introduction to Simple Bias Analysis	p. 63
Approach	p. 63
Introduction to the Example	p. 63
Bias Parameters	p. 64
Implementation of Simple Bias Analysis	p. 65
Ratio Measures	p. 65
Example	p. 68
Difference Measures	p. 71
Unmeasured Confounder in the Presence of Effect Modification	p. 72
Polytomous Confounders	p. 75
Bounding the Bias Limits of Unmeasured Confounding	p. 76
Analytic Approach	p. 77
Misclassification	p. 79
Introduction	p. 79
Definitions and Terms	p. 80
Conceptual	p. 80
Calculating Classification Bias Parameters from Validation Data	p. 82
Sources of Data	p. 83
Bias Analysis of Exposure Misclassification	p. 85
Corrections Using Sensitivity and Specificity: Nondifferential and Independent Errors	p. 87
Corrections Using Predictive Values	p. 89
Corrections Using Sensitivity and Specificity: Differential Independent Errors	p. 91
Corrections Using Sensitivity and Specificity: Internal Validation Data	p. 91
Overreliance on Nondifferential Misclassification Biasing Toward the Null	p. 93
Disease Misclassification	p. 94
Corrections with Sensitivity and Specificity Nondifferential and Independent Errors	p. 94
Overreliance on Nondifferential Misclassification Biasing Toward the Null	p. 96
Covariate Misclassification	p. 100
Corrections with Sensitivity and Specificity Nondifferential and Independent Errors	p. 100
Overreliance on Nondifferential Misclassification Biasing Toward the Null	p. 101
Dependent Misclassification	p. 103
Adjusting Standard Errors for Corrections	p. 106
Standard Errors When Sensitivity and Specificity Are Used	p. 106
Standard Errors When Predictive Values Are Used	p. 107
Conclusions	p. 107
Extensions	p. 107
Limitations	p. 108
Multidimensional Bias Analysis	p. 109
Introduction	p. 109
Selection Bias	p. 110
Unmeasured Confounder	p. 112
Misclassification	p. 113
Limitations	p. 116
Probabilistic Bias Analysis	p. 117
Introduction	p. 117
Probability Distributions	p. 119
Uniform Distribution	p. 119
Trapezoidal Distribution	p. 121
Triangular Distribution	p. 123
Normal Distribution	p. 124
Beta Distribution	p. 126
Other Probability Distributions	p. 132
Analytic Approach	p. 132
Exposure Misclassification Implementation	p. 132
Misclassification Implementation Alternative: Predictive Values	p. 138
Unmeasured Confounding Implementation	p. 138
Confounding Implementation Alternative: Relative Risk Due to Confounding	p. 141
Selection Bias Implementation	p. 142
Correlated Distributions	p. 144
Impossible Values for Bias Parameters	p. 146
Combining Systematic and Random Error	p. 147
Record Level Correction	p. 149
Conclusions	p. 149
Appendix	p. 150
Multiple Bias Modeling	p. 151
Introduction	p. 151
Multiple Bias Analysis Example	p. 153
Multiple Bias Analysis, Simple Methods	p. 154
Simple Misclassification Bias Analysis	p. 154
Simple Selection Bias Analysis	p. 155
Simple Unmeasured Confounder Analysis	p. 158
Multiple Bias Analysis, Multidimensional Methods	p. 160
Misclassification Scenarios	p. 160
Selection Bias Scenarios	p. 160
Unmeasured Confounder Scenarios	p. 161
Multiple Bias Analysis, Probabilistic Methods	p. 162
Probabilistic Misclassification Bias Analysis	p. 163
Probabilistic Selection Bias Analysis	p. 168
Probabilistic Unmeasured Confounder Bias Analysis	p. 169
Probabilistic Multiple Bias Analysis	p. 171
Presentation and Inference	p. 175
Introduction	p. 175
Presentation	p. 175
Methods	p. 175
Results	p. 176
Inference	p. 178
Inferential Framework	p. 178
Caveats and Cautions	p. 179
Utility	p. 180
References	p. 183
Index	p. 191
Table of Contents provided by Ingram. All Rights Reserved.

Applying Quantitative Bias Analysis to Epidemiologic Data

At a Glance

New Edition

Hardcover

Industry Reviews

Shipping

How to return your order

Defective items

You Can Find This Book In

More in Public Health & Preventive Medicine

No-Nonsense Nutrition

Science-based Principles and Easy Recipes to Reset Appetite, Boost Energy, Feel Amazing and Transform Your Health

Science of Strength Training

Understand the anatomy and physiology to transform your body

Forever Strong

A New, Science-Based Strategy for Aging Well

The How Not to Age Cookbook

100+ Recipes for Getting Healthier as You Get Older

The Food For Life Cookbook

100+ Recipes Created with ZOE

Renal Diet Cookbook for the Newly Diagnosed

The Complete Guide to Managing Kidney Disease and Avoiding Dialysis

The Fast 800 Keto (Australian & New Zealand Edition)

Eat well, burn fat, manage your weight long term

Good Energy

The Surprising Connection Between Glucose, Metabolism and Limitless Health

Ferment

The Life-Changing Power of Microbes

The Mind-Gut Connection

How The Hidden Conversation Within Our Bodies Impacts Our Mood, Our Choices, And Our Overall Health

Toxic Superfoods

How Oxalate Overload Is Making You Sick--and How to Get Better

The Galveston Diet

Your Ultimate Menopause Health Plan

The Mindful Self-Compassion Workbook

A Proven Way to Accept Yourself, Build Inner Strength, and Thrive

Brain Changer

Good Mental Health Diet

Food for Life

The New Science of Eating Well

Being Mortal

Illness, Medicine and What Matters in the End

How Not To Die

Discover the Foods Scientifically Proven to Prevent and Reverse Disease

Nutrition and Physical Degeneration

A Comparison of Primitive and Modern Diets and Their Effects

Food and Nutrition

Sustainable Food and Health Systems 4th Edition

Eat to Beat Disease

The Body's Five Defence Systems and the Foods that Could Save Your Life

Eat to Beat Your Diet

Burn fat, heal your metabolism, live longer

The Happiness Trap 2nd Edition

Stop Struggling, Start Living

Low-Cal Kitchen Bangers

100 quick and easy meals to help you lose weight

A Therapeutic Journey

Lessons from the School of Life

This product is categorised by