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Epidemiology Kept Simple An Introduction to Classic and Modern Epidemiology 2nd Edition,0471400289,9780471400288

Epidemiology Kept Simple An Introduction to Classic and Modern Epidemiology 2nd Edition



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Book Information

Publisher:John Wiley & Sons
Published In:2003
Binding Type:Paperback
Weight:1.94 lbs
Pages:pp. 448

The Title "Epidemiology Kept Simple An Introduction to Classic and Modern Epidemiology 2nd Edition" is written by B. Burt Gerstman. This book was published in the year 2003. The ISBN number 0471400289|9780471400288 is assigned to the Paperback version of this title. The book displayed here is a 2nd Edition edition. This book has total of pp. 448 (Pages). The publisher of this title is John Wiley & Sons. We have about 122553 other great books from this publisher. Epidemiology Kept Simple An Introduction to Classic and Modern Epidemiology 2nd Edition is currently Available with us.

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About the Book

Arranged to facilitate use and highlight key concepts, this clear and concise text also includes many practical exercises, case studies, and real-world applications. Utilizing the modern biostatistical approach to studying disease, Epidemiology Kept Simple, Second Edition will provide readers with the tools to interpret epidemiological data, understand disease concepts, and prepare for board exams. The Author fully explains all new terminology and minimizes the use of technical language, while emphasizing real-life practice in modern public health and biomedical research settings.

About the Author

B. Burt ( Bud ) Gerstman has a Ph.D. in Epidemiology and Comparative Pathology from the University of California, Davis, a MPH in Epidemiology from the University of California at Berkeley, and A Doctor of Veterinary Medicine degree from Cornell University. He teaches courses in epidemiology, biostatistics, and public Health statistics at San Jose State University in Northern California. Before coming to SJSU in 1990, he was a Fellow of the National Institutes of Health - U.S. Public Health Service Epidemiology Training Program and a member of the faculty at the Graduate School at National Institutes of Health. He has won numerous awards and is widely published. His most recent project was the development and publication of an epidemiology textbook and he is currently at work on a text on data analysis.


Natural History Second Edition. Preface to the First Edition. Acknowledgments. 1. Epidemiology Past and Present. 1.1 Epidemiology, Public Health, and Health. 1.2 Uses of Epidemiology. 1.3 Epidemiologic Transition. 1.4 Selected Historical Figures and Events. 2. Causal Concepts. 2.1 Natural History of Disease. 2.2 Spectrum of Disease and the Iceberg . 2.3 Causal Concepts. 2.4 Epidemiologic Variables. 3. The Infectious Disease Process. 3.1 The Infectious Disease Process. 3.2 Herd Immunity. 4. Screening for Disease. 4.1 Introduction. 4.2 Reproducibility. 4.3 Validity. 4.4 Relation Between Prevalence of Disease and Predictive Value of a Test. 4.5 Selecting a Cutoff for Positive and Negative Test Results. 4.6 Summary. Chapter Addendum (Case Study): Screening for Antibodies to the Human Immunodeficiency Virus. 5. Case Definitions and Disease Classification. 5.1 Case Defin itions. 5.2 International Classification of Disease. 5.3 Artifactual Fluctuations in Reported Rates. 5.4 Summary. 6. Incidence and Prevalence. 6.1 Background. 6.2 Incidence Proportion (Risk, Cumulative Incidence). 6.3 Incidence Rate (Incidence Density). 6.4 Prevalence. 7. Rate Adjustment. 7.1 Introduction. 7.2 Direct Adjustment. 7.3 Indirect Adjustment. 7.4 Adjustment for Multiple Factors. 7.5 Summary. 8. Measures of Association and Potential Impact. 8.1 Introduction. 8.2 Absolute Measures of Association. 8.3 Relative Measures of Association. 8.4 Measures of Potential Impact. 9. Types of Epidemiologic Studies. 9.1 Stages of Study and Hypothesis Statement. 9.2 Taxonomy of Study Design. 10. Experimental Study Designs. 10.1 Introduction. 10.2 Selected Concepts. 10.3 Clinical Trials as a Point of Reference. 11. Observational Study Designs. 11.1 Introduction. 11.2 Aggregate-Level (Ecological) Studies. 11.3 Cross-Sectional Studies. 11.4 Cohort Studies. 11.5 Case Control Studies. 11.6 Comparison of Randomized Trials, Cohort Studies, and Case Control Studies. 12. Error in Epidemiologic Research. 12.1 Introduction. 12.2 Random Error. 12.3 Systematic Error. 13. Confidence Intervals and p Values. 13.1 Introduction. 13.2 Confidence Intervals. 13.3 p Values. 13.4 Minimum Bayes Factors. 14. Mantel Haenszel Methods. 14.1 Ways to Prevent Confounding. 14.2 Simpson s Paradox. 14.3 Mantel Haenszel Methods for Risk Ratios. 14.4 Mantel Haenszel Methods for Other Measures of Association. 15. Statistical Interaction. 15.1 Two Types of Interaction. 15.2 Chi-Square Test for Statistical Interaction. 15.3 Strategy for Stratified Analysis. 16. From Association to Causation. 16.1 Introduction. 16.2 Report of the Advisory Committee to the U.S. Surgeon General, 1964. 16.3 Hill s Framework. 17. Survival Analysis. 17.1 Introduction. 17.2 Stratifying Rates by Follow-up Time. 17.3 Actuarial Method of Survival Analysis. 17.4 Kaplan Meier Method of Survival Analysis. 17.5 Comparing the Survival Experience of Two Groups. 18. Current Life Tables. 18.1 Introduction. 18.2 Complete Life Table. 18.3 Abridged Life Table. 19. Random Distribution of Cases in Time and Space. 19.1 Introduction. 19.2 The Poisson Distribution. 19.3 Goodness of Fit of the Poisson Distribution. 19.4 Summary. 20. Outbreak Investigation. 20.1 Background. 20.2 Investigatory Steps. Chapter Addendum 1 (Case Study): Drug Disease Outbreak. Chapter Addendum 2 (Case Study): Food-Borne Outbreak in Rhynedale, California. Appendix 1. 95% Confidence Limits for Poisson Counts. Appendix 2. Tail Areas in the Standard Normal (Z) Distribution: Double There Areas for Two-Sided p Values. Appendix 3. Right-Tail Areas in Chi-Square Distributions. Appendix 4. Case Study Cigarette Smoking and Lung Cancer. Appendix 5. Case Study Tampons and Toxic Shock Syndrome.

Excerpts from Inner Flap (Front)

As epidemiology expands into new areas of medicine and scientific research, professionals without specific epidemiologic training and undergraduate students in a variety of health-related fields are increasingly called upon to study and assess epid emiological information. Epidemiology Kept Simple: An Introduction to Classic and Modern Epidemiology, Second Edition revises and updates the first accessible treatment of the subject for non-epidemiologists. Using traditional and modern epidemiologic approaches, it gives the reader simple yet effective tools to interpret epidemiologic data, keep up with current literature, and prepare for qualifying exams with epidemiologic content. Clear and concise throughout, this book features a series of authoritative chapters arranged in a format that encourages comprehension of key concepts. Topics covered include: *The historical development of epidemiologic ideas *Causal concepts *Identification and classification of disease *Measures of disease frequency (incidence and prevalence) *Stratification and adjustment *Measures of association and potential impact *Types of studies and epidemiologic study designs *Sources of error in epidemiologic study designs *Confidence intervals and p values *Mantel-Haenszel methods of confounder adjustment *Statistical interaction in epidemiologic studies *Causal inference *Survival analysis and current life tables *Clusters and outbreaks The Second Edition contains chapter summaries, illustrations, and extensive references for would-be epidemiologists or for those interested in specialized areas of epidemiology. It is an ideal introductory text for public health training programs as well as for students and professionals in medicine, health education, and the biologic sciences, and for all who would like to sharpen their epidemiologic skills.

Author's Note

This is a general text in epidemiology covering both traditional epidemiologic concepts and modern methods and approaches. I have tried to bring out the liveliness of the subject by frequent use of real and tangible examples from contemporary and historically important epidemiologic studies. The object of this approach is to promote interest in epidemiology as a subject in its own right by emphasizing its fundamental ideas and the principles and criteria involved in applying them while keeping at least some of the technical details from dominating the scene. It is my hope that by working backwards, from tangible examples to abstract reasoning, a deeper appreciation of numerical as well as philosophical principles will be gained.


" remains a key textbook for introducing the subject to students and self-learners with little previous exposure to epidemiology or health-related research." ( Clinical Chemistry , November 2004) This is a fun book to read and provides a light version of a specialty that often becomes heavy and over burdensome...a wonderful beginning text and information source...Nicely done! ( Veterinary and Human Toxicology , Vol. 46, No. 2, April 2004)


"This should become THE epidemiology text." --Paul M. Gahlinger, MD, PhD, Department of Family and Preventive Medicine, University of Utah

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