Record Display for the EPA National Library Catalog

RECORD NUMBER: 24 OF 64

OLS Field Name OLS Field Data
Main Title Epidemiology : an introduction /
Author Rothman, Kenneth J.
Publisher Oxford University Press,
Year Published 2002
OCLC Number 47659392
ISBN 9780195135534; 0195135539; 9780195135541; 0195135547
Subjects Epidemiology. ; Epidemiologic Methods. ; Epidemiologie. ; Epidemiologie.--(DE-588)4015016-1 ; Epidemiologia. ; Métodos epidemiológicos. ; Epidemiologie.--gtt ; Epidemiologia.--larpcal ; Metodos epidemiologicos.--larpcal
Internet Access
Description Access URL
http://www.loc.gov/catdir/enhancements/fy0612/2001036737-d.html
Table of contents http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&doc_number=009811030&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA
Table of contents http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=009811030&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA
Publisher description http://catdir.loc.gov/catdir/enhancements/fy0612/2001036737-d.html
Holdings
Library Call Number Additional Info Location Last
Modified
Checkout
Status
EKBM  RA651.R68 2002 Research Triangle Park Library/RTP, NC 04/13/2007
Collation viii, 223 pages : illustrations
Notes
Includes bibliographical references and index.
Contents Notes
1. Introduction to Epidemiologic Thinking -- 2. What Is Causation? -- 3. Measuring Disease Occurrence and Causal Effects -- 4. Types of Epidemiologic Study -- 5. Biases in Study Design -- 6. Random Error and the Role of Statistics -- 7. Analyzing Simple Epidemiologic Data -- 8. Controlling Confounding by Stratifying Data -- 9. Measuring Interactions -- 10. Using Regression Models in Epidemiologic Analysis -- 11. Epidemiology in Clinical Settings. Begins with a brief, lucid discussion of casual thinking and causal inference and then takes the reader through the elements of epidemiology, focusing on the measures of disease occurrence and causal effects. With these building blocks in place, the reader learns how to design, analyze, and interpret epidemiologic research studies, and how to deal with the fundamental problems that epidemiologists face, including confounding, the role of chance, and the exploration of interactions. All these topics are layered on the foundation of basic principles presented in simple language, with numerous examples and questions for further thought.