Epidemiology / Edition 3

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Overview

Written for those who are familiar with the basic strategies of analytic epidemiology, Epidemiology: Beyond the Basics takes readers through a more rigorous discussion of key epidemiologic concepts and methods such as study design, measures of association, research assessment, and more. With real-life examples throughout, the book avoids complex statistical formulations and is an invaluable resource for intermediate students and practicing epidemiologists who wish to expand their knowledge of epidemiology and its role in the medical and public health sciences.

The Third Edition offers a completely revamped page design that will make it easier for your students to navigate through the many charts, graphs, and mathematical formulas. It also offers expanded chapter exercises, new and updated references throughout, as well as coverage of some new topics including:
• Over-diagnosis Bias (Ch. 4);
• “Joint Presence of Two Factors that Interact as a Confounding Variable” (Ch. 6);
• “Alternative Approaches for the Control of Confounding” (Ch. 7);
• “Final Considerations” (Ch.8);
• Decision trees (Ch. 10)

This edition also offers an updated package of instructor materials including instructor’s manual, PowerPoint lecture slides, and a test bank.

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Editorial Reviews

Doody's Review Service
Reviewer: Ashley E Kates, MS (University of Iowa College of Public Health)
Description: This update of book last published in 2006 provides a more in-depth discussion of epidemiology principles and methodologies than other books and provides examples and practice exercises throughout.
Purpose: The book aims to provide an intermediate level presentation of epidemiology concepts and methodologies, specifically in analytic epidemiology. This edition includes updated examples and new exercises as well as novel concepts and provides a more advanced discussion of epidemiology without the complexity of other advanced textbooks in this area. The authors discuss topics with the appropriate level of information while leaving out details unnecessary for the intermediate level of understanding.
Audience: According to the authors, this book is written primarily for epidemiology students looking to further their knowledge of epidemiology beyond the introductory level and for other readers who are looking for a more advanced understanding of analytic epidemiology, but are not looking for in-depth statistical methods. This will be useful to anyone in healthcare wishing to advance their understanding of epidemiology and for students in the earlier stages of coursework.
Features: This discussion of analytic epidemiology covers study design, measures of association, validity and threats to validity, as well as reporting results and public health policy. The book has a logical flow between topics as well as through chapters. Confounding, interaction, and biases are well covered. The authors use many figures, tables, examples, and end of chapter exercises to supplement the material and to help readers assess their understanding. While the text can be a bit dense at times, it is written at a level appropriate for more advanced readers.
Assessment: This book provides readers with a level of information not found in other texts and will benefit those looking to further their understanding of epidemiology, but are not looking for theoretical understanding or in-depth statistical methodologies. This third edition is welcome, with its new content and examples, and is an easier read than previous versions.
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Product Details

  • ISBN-13: 9781449604691
  • Publisher: Jones & Bartlett Learning
  • Publication date: 10/25/2012
  • Edition number: 3
  • Pages: 536
  • Sales rank: 697,291
  • Product dimensions: 7.00 (w) x 9.90 (h) x 1.20 (d)

Table of Contents

Preface ix

Acknowledgments xii

About the Authors xiii

Part 1 Introduction 1

Chapter 1 Basic Study Designs in Analytical Epidemiology 3

1.1 Introduction: Descriptive and Analytical Epidemiology 3

1.2 Analysis of Age, Birth Cohort, and Period Effects 4

1.3 Ecologic Studies 14

1.4 Studies Based on Individuals as Observation Units 19

References 39

Exercises 42

Part 2 Measures of Disease Occurrence and Association 45

Chapter 2 Measuring Disease Occurrence 47

2.1 Introduction 47

2.2 Measures of Incidence 49

2.3 Measures of Prevalence 71

2.4 Odds 73

References 74

Exercises 75

Chapter 3 Measuring Associations Between Exposures and Outcomes 79

3.1 Introduction 79

3.2 Measuring Associations in a Cohort Study 79

3.3 Cross-Sectional Studies: Point Prevalence Rate Ratio 90

3.4 Measuring Associations in Case-Control Studies 90

3.5 Assessing the Strength of Associations 101

References 104

Exercises 105

Part 3 Threats to Validity and Issues of Interpretation 107

Chapter 4 Understanding Lack of Validity: Bias 109

4.1 Overview 109

4.2 Selection Bias 111

4.3 Information Bias 116

4.4 Combined Selection/Information Biases 133

References 147

Exercises 150

Chapter 5 Identifying Noncausal Associations: Confounding 153

5.1 Introduction 153

5.2 The Nature of the Association Between the Confounder, the Exposure, and the Outcome 156

5.3 Theoretical and Graphical Aids to Frame Confounding 162

5.4 Assessing the Presence of Confounding 164

5.5 Additional Issues Related to Confounding 171

5.6 Conclusion 179

References 180

Exercises 182

Chapter 6 Defining and Assessing Heterogeneity of Effects: Interaction 185

6.1 Introduction 185

6.2 Defining and Measuring Effect 186

6.3 Strategies to Evaluate Interaction 186

6.4 Assessment of Interaction in Case-Control Studies 196

6.5 More on the Interchangeability of the Definitions of Interaction 203

6.6 Which is the Relevant Model? Additive Versus Multiplicative Interaction 205

6.7 The Nature and Reciprocity of Interaction 207

6.8 Interaction, Confounding Effect, and Adjustment 211

6.9 Statistical Modeling and Statistical Tests for Interaction 212

6.10 Interpreting Interaction 214

6.11 Interaction and Search for New Risk Factors in Low-Risk Groups 219

6.12 Interaction and "Representativeness" of Associations 221

References 222

Exercises 224

Part 4 Dealing with Threats to Validity 227

Chapter 7 Stratification and Adjustment: Multivariate Analysis in Epidemiology 229

7.1 Introduction 229

7.2 Stratification and Adjustment Techniques to Disentangle Confounding 230

7.3 Adjustment Methods Based on Stratification 234

7.4 Multiple Regression Techniques for Adjustment 248

7.5 Alternative Approaches for the Control of Confounding 282

7.6 Incomplete Adjustment: Residual Confounding 293

7.7 Over-Adjustment 295

7.8 Conclusion 296

References 301

Exercises 305

Chapter 8 Quality Assurance and Control 313

8.1 Introduction 313

8.2 Quality Assurance 313

8.3 Quality Control 318

8.4 Indices of Validity and Reliability 328

8.5 Regression to the Mean 358

8.6 Final Considerations 359

References 360

Exercises 363

Part 5 Issues of Reporting and Application of Epidemiologic Results 367

Chapter 9 Communicating Results of Epidemiologic Studies 369

9.1 Introduction 369

9.2 What to Report 369

9.3 How to Report 373

9.4 Conclusion 385

References 386

Exercises 388

Chapter 10 Epidemiologic Issues in the Interface with Public Health Policy 391

10.1 Introduction 391

10.2 Causality: Application to Public Health and Health Policy 392

10.3 Decision Tree and Sensitivity Analysis 408

10.4 Meta-Analysis 413

10.5 Publication Bias 416

10.6 Summary 420

References 421

Exercises 426

Appendix A Standard Errors, Confidence Intervals, and Hypothesis Testing for Selected Measures of Risk and Measures of Association 431

Appendix B Test for Trend (Dose Response) 455

Appendix C Test of Homogeneity of Stratified Estimates (Test for Interaction) 459

Appendix D Quality Assurance and Quality Control Procedures Manual for Blood Pressure Measurement and Blood/Urine Collection in the ARIC Study 461

Appendix E Calculation of the Intraclass Correlation Coefficient 469

Appendix F Answers to Exercises 473

Index 501

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Sort by: Showing 1 Customer Reviews
  • Anonymous

    Posted April 24, 2013

    thatz what we called Epidemiology.................... intersting

    thatz what we called Epidemiology....................
    intersting

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