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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
- Sales Rank: #224783 in Books
- Published on: 1982
- Original language: English
- Number of items: 1
- Dimensions: 9.37" h x 1.26" w x 6.83" l, 2.22 pounds
- Binding: Hardcover
- 560 pages
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
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.
Most helpful customer reviews
9 of 11 people found the following review helpful.
KKM
By A Customer
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 6 people found the following review helpful.
Obsolete text -- don't waste your time
By A Customer
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.
0 of 0 people found the following review helpful.
Great book
By Emmanuel A
What I love about this book is that it is easy to read and understand. The authors attempted to present hard facts in simple way. The book is simply fantastic!
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