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Epidemiologic Research - (Industrial Health & Safety) by David G Kleinbaum & Lawrence L Kupper & Hal Morgenstern (Hardcover)

Epidemiologic Research - (Industrial Health & Safety) by  David G Kleinbaum & Lawrence L Kupper & Hal Morgenstern (Hardcover) - 1 of 1
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About this item

Highlights

  • Epidemiologic Research Principles and Quantitative Methods DavidG.
  • About the Author: David G. Kleinbaum is Associate Professor of Biostatisticsand Epidemiology at the University of North Carolina School ofPublic Health and holds a Ph.D. from the University of NorthCarolina.
  • 560 Pages
  • Science, General
  • Series Name: Industrial Health & Safety

Description



Book Synopsis



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

Epidemiologic Research covers the principles and methodsof planning, analysis and interpretation of epidemiologic researchstudies. It supplies the applied researcher with the mostup-to-date methodological thought and practice. Specifically, thebook focuses on quantitative (including statistical) issues arisingfrom epidemiologic investigations, as well as on the questions ofstudy design, measurement and validity. EpidemiologicResearch emphasizes practical techniques, procedures andstrategies. It presents them through a unified approach whichfollows the chronology of issues that arise during theinvestigation of an epidemic. The book's viewpoint ismultidisciplinary and equally useful to the epidemiologicresearcher and to the biostatistician. Theory is supplemented bynumerous examples, exercises and applications. Full solutions aregiven to all exercises in a separate solutions manual. Importantfeatures
* Thorough discussion of the methodology of epidemiologicresearch
* Stress on validity and hence on reliability
* Balanced approach, presenting the most important prevailingviewpoints
* Three chapters with applications of mathematical modeling



About the Author



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

Lawrence L. Kupper is Professor of Biostatistics andEpidemiology at the University of North Carolina School of PublicHealth and holds a Ph.D. from the University of North Carolina.Drs. Kleinbaum and Kupper have worked on the development ofapplications of statistical methods to epidemiology for over tenyears. They have conducted several epidemiological research studiesand published their work in Biometrics and the American Journal ofEpidemiology, among others. Their short course on the subject ofthis book is in high demand in the U.S. and internationally. Theyare also the authors of Applied Regression Analysis (Duxbury Press,1977).

Hal Morgenstern is Assistant Professor of Epidemiology atthe Yale University School of Public Health. Dr.Morgenstern's work focuses on epidemiologic research methodsand he has published extensively on the subject in the AmericanJournal of Epidemiology, the International Journal of Epidemiology, Biometrics and the Journal of Community Health. Much of hisresearch is applied to planning and policy issues, as well as tocardiovascular disease and to senile dementia. Dr. Morgensternholds a Ph.D. in Epidemiology from the University of NorthCarolina, as well as degrees in Architecture from M.I.T. and inRegional Planning from the University of North Carolina.

Dimensions (Overall): 9.47 Inches (H) x 6.69 Inches (W) x 1.19 Inches (D)
Weight: 2.22 Pounds
Suggested Age: 22 Years and Up
Series Title: Industrial Health & Safety
Sub-Genre: General
Genre: Science
Number of Pages: 560
Publisher: Wiley
Format: Hardcover
Author: David G Kleinbaum & Lawrence L Kupper & Hal Morgenstern
Language: English
Street Date: January 16, 1991
TCIN: 93673737
UPC: 9780471289852
Item Number (DPCI): 247-09-0442
Origin: Made in the USA or Imported
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Shipping details

Estimated ship dimensions: 1.19 inches length x 6.69 inches width x 9.47 inches height
Estimated ship weight: 2.22 pounds
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