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Epidemiology Beyond the Basics, 4/e

Epidemiology Beyond the Basics, 4/e

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內容簡介

  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 Fourth Edition offers updated examples and new exercises in each chapter as well as many new discussions of topics such as: prevalence ratios vs. odds ratios; inverse probability weighting as a technique for correcting for selection bias; regression to the mean as a source of confounding (Glymour bias); mediation analysis; correction for competing causes in multivariate analysis; the extension of the Cox model for the analysis of nested case-control studies; multilevel analysis; translational epidemiology and much more.

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

作者介紹

作者簡介

Moyses Szklo, MD, DrPH


  Moyses Szklo, MD, DrPH- Professor, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland

  Moyses Szklo, MD, DrPH, is a Professor of Epidemiology at the Johns Hopkins Bloomberg School of Public Health and is Director of its Chronic Disease Epidemiology Program. His current research focuses on risk factors for subclinical and clinical atherosclerosis. He is also Editor in Chief of the American Journal of Epidemiology.

F. Javier Nieto, MD, PhD

  F. Javier Nieto, MD, PhD, MPH, MHS - College of Public Health and Human Sciences, Oregon State University, Oregon

  F. Javier Nieto, MD, PhD, is Helfaer Professor of Public Health, and Professor and Chair at the Department of Population Health Sciences at the University of Wisconsin School of Medicine and Public Health. His current research focuses on emerging risk factors for ischemic heart disease, particularly chronic infections and sleep disorders.
 
 

目錄

Part I Introduction
Chapter 1  Basic Study Designs in Analytical Epidemiology

Part II Measures of Disease Occurrence and Association
Chapter 2  Measuring Disease Occurrence
Chapter 3  Measuring Associations Between Exposures and Outcomes

Part III Threats to Validity and Issues of Interpretation
Chapter 4  Understanding Lack of Validity: Bias
Chapter 5  Identifying Noncausal Associations: Confouding
Chapter 6  Defining and Assessing Heterogeneity of Effects: Interaction

Part IV Dealing with Threats to Validity
Chapter 7  Stratification and Adjustment: Multivariate Analysis in Epidemiology
Chapter 8  Quality Assurance and Control

Part V Issues of Reporting and Application of Epidemiology Results
Chapter 9  Communicating Results of Epidemiologic Studies
Chapter 10  Epidemiologic Issues in the Interface with Public Health Policy
Appendix A  Standard Errors, Confidence Intervals, and Hypothesis Testing for Selected Measures of Risk and Measures of Association
Appendix B  Test for Trend (Dose Response)
Appendix C  Test of Homogeneity of Stratified Estimates (Test for Interaction)
Appendix D  Quality Assurance and Quality Control Procedures Manual for Blood Pressure Measurement and Blood/Urine Collection in the ARIC Study
Appendix E  Calculation of the Intraclass Correlation Coefficient
Appendix F  Answers to Exercise
Index

 
 



  This book was conceived as an intermediate epidemiology textbook. Similar to previous editions, the fourth edition discusses key epidemiologic concepts and basic methods in more depth than that found in basic textbook on epidemiology. For the fourth edition, new examples and exercises have been added to all chapters. In addition, several new topics have been introduced, including the use of negative controls to evaluate for the presence of confounding, a simple way to understanding adjustment using multiple regression, use of single analytic unit, and translational epidemiology. Some concepts that were discussed in previous edition have been expanded, including efficacy and ways to conceptualize a control group.
 

詳細資料

  • ISBN:9781284116595
  • 規格:平裝 / 577頁 / 17.8 x 22.9 x 3.6 cm / 普通級 / 單色印刷 / 4版
  • 出版地:美國

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