Epidemiologic Research: Principles and Quantitative Methods (Industrial Health & Safety) [Hardcover]

David G. Kleinbaum (Author), Lawrence L. Kupper (Author), Hal Morgenstern (Author)

Book Description

Publication Date: 1982 | ISBN-10: 047128985X | ISBN-13: 978-0471289852 | Edition: 1

Epidemiologic Research Principles and Quantitative Methods David G. Kleinbaum, Ph.D. Lawrence L. Kupper. Ph.D. Hal Morgenstern, Ph.D.

Epidemiologic Research covers the principles and methods of planning, analysis and interpretation of epidemiologic research studies. It supplies the applied researcher with the most up-to-date methodological thought and practice. Specifically, the book focuses on quantitative (including statistical) issues arising from epidemiologic investigations, as well as on the questions of study design, measurement and validity. Epidemiologic Research emphasizes practical techniques, procedures and strategies. It presents them through a unified approach which follows the chronology of issues that arise during the investigation of an epidemic. The book’s viewpoint is multidisciplinary and equally useful to the epidemiologic researcher and to the biostatistician. Theory is supplemented by numerous examples, exercises and applications. Full solutions are given to all exercises in a separate solutions manual. Important features

• Thorough discussion of the methodology of epidemiologic research
• Stress on validity and hence on reliability
• Balanced approach, presenting the most important prevailing viewpoints
• Three chapters with applications of mathematical modeling

Editorial Reviews

From the Inside Flap

Epidemiologic Research Principles and Quantitative Methods David G. Kleinbaum, Ph.D. Lawrence L. Kupper. Ph.D. Hal Morgenstern, Ph.D. Epidemiologic Research covers the principles and methods of planning, analysis and interpretation of epidemiologic research studies. It supplies the applied researcher with the most up-to-date methodological thought and practice. Specifically, the book focuses on quantitative (including statistical) issues arising from epidemiologic investigations, as well as on the questions of study design, measurement and validity. Epidemiologic Research emphasizes practical techniques, procedures and strategies. It presents them through a unified approach which follows the chronology of issues that arise during the investigation of an epidemic. The book’s viewpoint is multidisciplinary and equally useful to the epidemiologic researcher and to the biostatistician. Theory is supplemented by numerous examples, exercises and applications. Full solutions are given to all exercises in a separate solutions manual. Important features

Thorough discussion of the methodology of epidemiologic research

Stress on validity and hence on reliability

Balanced approach, presenting the most important prevailing viewpoints

Three chapters with applications of mathematical modeling

About the Author

David G. Kleinbaum is Associate Professor of Biostatistics and Epidemiology at the University of North Carolina School of Public Health and holds a Ph.D. from the University of North Carolina.

Lawrence L. Kupper is Professor of Biostatistics and Epidemiology at the University of North Carolina School of Public Health and holds a Ph.D. from the University of North Carolina. Drs. Kleinbaum and Kupper have worked on the development of applications of statistical methods to epidemiology for over ten years. They have conducted several epidemiological research studies and published their work in Biometrics and the American Journal of Epidemiology, among others. Their short course on the subject of this book is in high demand in the U.S. and internationally. They are also the authors of Applied Regression Analysis (Duxbury Press, 1977).

Hal Morgenstern is Assistant Professor of Epidemiology at the Yale University School of Public Health. Dr. Morgenstern’s work focuses on epidemiologic research methods and he has published extensively on the subject in the American Journal of Epidemiology, the International Journal of Epidemiology, Biometrics and the Journal of Community Health. Much of his research is applied to planning and policy issues, as well as to cardiovascular disease and to senile dementia. Dr. Morgenstern holds a Ph.D. in Epidemiology from the University of North Carolina, as well as degrees in Architecture from M.I.T. and in Regional Planning from the University of North Carolina.

Product Details

• Hardcover: 560 pages
• Publisher: Wiley; 1 edition (1982)
• Language: English
• ISBN-10: 047128985X
• ISBN-13: 978-0471289852
• Product Dimensions: 6.8 x 1.3 x 9.4 inches
• Shipping Weight: 2.2 pounds (View shipping rates and policies)
• Average Customer Review: 3.7 out of 5 stars  See all reviews (3 customer reviews)
• Amazon Best Sellers Rank: #1,352,293 in Books (See Top 100 in Books)

Customer Reviews

Most Helpful Customer Reviews

7 of 9 people found the following review helpful:

5.0 out of 5 stars KKM, August 1, 2000

By A Customer

This review is from: Epidemiologic Research: Principles and Quantitative Methods (Industrial Health & Safety) (Hardcover)

This is a fine textbook, but I am compelled to respond to the first review. Nondifferential misclassification unfortunately does not always produce a bias towards the null. See more recent texts for details.

4 of 5 people found the following review helpful:

1.0 out of 5 stars Obsolete text -- don't waste your time, June 14, 2002

By A Customer

This review is from: Epidemiologic Research: Principles and Quantitative Methods (Industrial Health & Safety) (Hardcover)

Once upon a time this book may have been useful, but now this text is more than 20 years old and badly in need of a revision. You would be better off to read a more up-to-date work instead, such as the books by Rothman and Greenland, Clayton and Hills, or MacMahon and Trichopolos.

6 of 15 people found the following review helpful:

5.0 out of 5 stars Good discussion of misclassification bias, April 21, 1998

By 

[e-mail] (Chicago, IL) - See all my reviews

This review is from: Epidemiologic Research: Principles and Quantitative Methods (Industrial Health & Safety) (Hardcover)

Most epidemiology texts I have seen do not show a proof of the commonly stated issue that misclassification bias always produces a bias toward the null. This text provides such a proof and does so eloquently