Epidemiology
Study Design and Data Analysis, Third Edition
By Mark Woodward
To Be Published October 23rd 2013 by Chapman and Hall/CRC – 816 pages
Description
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 designs 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.
New Material in This Edition Includes:
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.
Reviews
Praise for Previous Editions:
"As a text in quantitative epidemiology, this book also works nicely as a text in biostatistics…The presentation style is relaxed, the examples are helpful, and the level of technical difficulty makes the material approachable without oversimplification…It is sufficiently broad and deep in coverage to compete with standard texts in the field and has the added bonus of emphasizing study design. Methods and issues related to designs commonly used in a wide variety of health sciences are included…"
-Ken Hess, Department of Biomathematics and Biostatistics, Anderson Cancer Center
"The second edition of this epidemiology text is strengthened to cater to the two audiences the author has in mind: applied statisticians wishing to learn how their statistical expertise can be used in the epidemiology field and statistic-curious researchers who want to understand how statistical techniques can be used to solve epidemiological problems. …The result is a book that will invariably appeal to the intended audience, one with practical applications of techniques and interpretations of results in an epidemiological context. …The book is most certainly an ambitious attempt at covering a broad array of the most important epidemiologic study designs and analytical methods. This is further enforced by the addition of the meta-analysis chapter. …This book will be valuable to statisticians in applying their discipline to epidemiology. Mark Woodward's excellent second edition will effectively serve post-graduate or advanced undergraduate students studying epidemiology, as well as statisticians or researchers who are regularly confronted with epidemiological questions."
-Journal of the American Statistical Association
"This book provides very good coverage of major issues in the design of epidemiological studies, and a decent, but very quick, tour of commonly used statistical models for such studies."
-Short Book Reviews Publication of the International Statistical Institute, K.S. Brown, University of Waterloo, Canada
"Amazingly, Woodward manages to describe quite sophisticated models and analysis with nothing more complicated than summation signs. …I highly recommend it."
-Statistics in Medicine, 2006
"The second edition of this concisely written book covers all statistical methods being of relevance for the planning and analysis of epidemiological studies where the author avoids unnecessary mathematical details for the sake of comprehensibility. The presented statistical principles are always carefully discussed in the context of epidemiological concepts, for instance depending on the different study designs. Detailed practical examples coming from real studies as far as possible illustrate their application. …The book can be highly recommended to researchers in epidemiology who want to understand better the statistical principles being typically applied in this field and to statisticians who want to understand more about statistics in epidemiology, but also to graduate students in epidemiology, public health, medical research and statistics."
-Biometrics, Sept. 2005
"I think anyone with an interest in both biostatistics and epidemiology will want a copy this book on their bookshelf … it is a first-rate reference book."
"I find Professor Woodward's text the most complete and practical introduction to the design and analysis of epidemiological studies I've encountered… an excellent text for either a course introducing epidemiologists to statistical thought and methods or a course introducing statisticians to epidemiological thought and methods… students appreciate having a readable textbook replete with understandable examples and worked exercises…offers a complete introduction to statistical and epidemiological methods in the study of disease in human populations. All of the standard topics are included, and the second edition even has a chapter on meta-analysis. …This book can be used as a text to introduce epidemiological methods to graduate students in statistics who have no background in epidemiology, or vice versa…Professor Woodward is to be congratulated on a job well done."
-Dan McGee, Dept of Statistics, Florida State University
Contents
PREFACE
FUNDAMENTAL ISSUES
What is Epidemiology?
Case Studies: The Work of Doll and Hill
Populations and Samples
Measuring Disease
Measuring the Risk Factor
Causality
Studies Using Routine Data
Study Design
Data Analysis
Exercises
BASIC ANALYTICAL PROCEDURES
Introduction
Case Study
Types of Variables
Tables and Charts
Inferential Techniques for Categorical Variables
Descriptive Techniques for Quantitative Variables
Inferences about Means
Inferential Techniques for Non-Normal Data
Measuring Agreement
Assessing Diagnostic Tests
Exercises
ASSESSING RISK FACTORS
Risk and Relative Risk
Odds and Odds Ratio
Relative Risk or Odds Ratio?
Prevalence Studies
Testing Association
Risk Factors Measured at Several Levels
Attributable Risk
Rate and Relative Rate
Measures of Difference
Exercises
CONFOUNDING AND INTERACTION
Introduction
The Concept of Confounding
Identification of Confounders
Assessing Confounding
Standardization
Mantel-Haenszel Methods
The Concept of Interaction
Testing for Interaction
Dealing with Interaction
Exercises
COHORT STUDIES
Design Considerations
Analytical Considerations
Cohort Life Tables
Kaplan-Meier Estimation
Comparison of Two Sets of Survival Probabilities
The Person-Years Method
Period-Cohort Analysis
Exercises
CASE-CONTROL STUDIES
Basic Design Concepts
Basic Methods of Analysis
Selection of Cases
Selection of Controls
Matching
The Analysis of Matched Studies
Nested Case-Control Studies
Case-Cohort Studies
Case-Crossover Studies
Exercises
INTERVENTION STUDIES
Introduction
Ethical Considerations
Avoidance of Bias
Parallel Group Studies
Cross-Over Studies
Sequential Studies
Allocation to Treatment Group
Exercises
SAMPLE SIZE DETERMINATION
Introduction
Power
Testing a Mean Value
Testing a Difference Between Means
Testing a Proportion
Testing a Relative Risk
Case-Control Studies
Complex Sampling Designs
Concluding Remarks
Exercises
MODELLING QUANTITATIVE OUTCOME VARIABLES
Statistical Models
One Categorical Explanatory Variable
One Quantitative Explanatory Variable
Two Categorical Explanatory Variables
Model Building
General Linear Models
Several Explanatory Variables
Model Checking
Confounding
Longitudinal Data
Non-Normal Alternatives
Exercises
MODELLING BINARY OUTCOME DATA
Introduction
Problems with Standard Regression Models
Logistic Regression
Interpretation of Logistic Regression Coefficients
Generic Data
Multiple Logistic Regression Models
Tests of Hypotheses
Confounding
Interaction
Model Checking
Regression Dilution
Case-Control Studies
Outcomes with Several Ordered Levels
Longitudinal Data
Complex Sampling Designs
Exercises
MODELLING FOLLOW-UP DATA
Introduction
Basic Functions of Survival Time
Estimating the Hazard Function
Probability Models
Proportional Hazards Regression Models
The Cox Proportional Hazards Model
The Weibull Proportional Hazards Model
Model Checking
Poisson Regression
Pooled Logistic Regression
Exercises
META-ANALYSIS
Reviewing Evidence
Systematic Review
A General Approach to Pooling
Investigating Heterogeneity
Pooling Tabular Data
Individual Participant Data
Dealing with Aspects of Study Quality
Publication Bias
Is Meta-Analysis a Valid Tool in Epidemiology?
Exercises
APPENDIX A: MATERIALS AVAILABLE FROM THE WEBSITE
APPENDIX B: STATISTICAL TABLES
APPENDIX C: EXAMPLE DATA SETS
SOLUTIONS TO EXERCISES
REFERENCES
INDEX
Name: Epidemiology: Study Design and Data Analysis, Third Edition (Hardback) – Chapman and Hall/CRC
Description: By Mark Woodward. 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...
Categories: Statistics for the Biological Sciences, Statistical Theory & Methods, Epidemiology