Statistical Methods in Cancer Research Vol. 3

Lee, P. N., Krewski, D., Wahrendorf, J., Tarone, R. E., Gart, J. J.

ISBN 10: 9283211790 / ISBN 13: 9789283211792

Published by Oxford University Press, Incorporated, 1987

About this Item

Used book that is in clean, average condition without any missing pages.

Seller Inventory # 17432051-6

Bibliographic Details

• Title: Statistical Methods in Cancer Research Vol. 3
• Publisher: Oxford University Press, Incorporated
• Publication Date: 1987
• Language: English
• ISBN 10: 9283211790
• ISBN 13: 9789283211792
• Binding: Hardcover
• Edition: 1st Edition.
• Condition: Good

About this title

Synopsis

This volume addresses an area of cancer research that is of great importance in the understanding of carcinogenic risk factors: the development of measures to standardize methods for long-term tests based on a thorough treatment of the statistical issues that are involved. This area of research is particularly important due to the biological limitations of short-term assays and the methodological difficulties of some epidemiological studies.

Synopsis

This volume in the IARC series on 'Statistical Methods in Cancer Research', on the design and analysis of long-term animal experiments, addresses an area of cancer research that is of great importance in the understanding of carcinogenic risk factors. Long-term animal experiments play a major role in the assessment of the carcinogenicity of chemicals, because of the methodological difficulties of some epidemiological studies and the biological limitations of short-term assays. A move to standardize methods for long-term tests has been observed in recent years, and a thorough treatment of the statistical issues involved was therefore essential. The publication of this volume is in concordance with the Agency's aim to promote all facets of cancer research by disseminating information and providing methodological support. This book should prove to be of value not only for biostaticians working in the field of long-term animal experiments, but also for experimentalists who want to learn about the statistical concepts involved and all those who have to interpret findings from such studies for regulatory purposes.