US EPA

93223 

Book/Book Chapter 

Statistical methods in cancer research. Volume II—The design and analysis of cohort studies 

Breslow, NE; Day, NE 

1986 

International Agency for Research on Cancer 

Lyon, France 

English 

3329634 

https://publications.iarc.fr/Book-And-Report-Series/Iarc-Scientific-Publications/Statistical-Methods-In-Cancer-Research-Volume-II-The-Design-And-Analysis-Of-Cohort-Studies-1986
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Epidemiological studies provide the only definitive information on the degree of cancer risk to man. Since malignant diseases are clearly of multifactorial origin, their investigation in man has become increasingly complex, and epidemiological and statistical studies on cancer require a correspondingly complex and rigorous methodology.

The past 15 years have seen rapid developments of the analytic tools available to epidemiologists. These advances now permit a more flexible and quantitative approach to the use of epidemiological data, and thus greatly enhance the utility of such data for the primary purpose of disease prevention. For society now expects that if preventive measures are to be introduced, then quantitative assessments of the expected benefit should be available. The first volume in this series focused on case-control studies, reflecting the concentration on this approach in the 1970s for the identification of cancer hazards. Attention has recently turned to the more basic line of attack provided by cohort studies, and the more general modelling of risk that can ensue. This second volume gives an authoritative account of the methods now available for the interpretation of the results from this type of study.

The two volumes together give a comprehensive development of the principles and concepts underlying the design and analysis of both types of study currently used in analytic cancer epidemiology, and a detailed treatment of the quantitative methods now available. The IARC hopes that this text will be of value to the epidemiological and statistical community for many years to come. 

IARC Scientific Publication No. 82 

9789283201823