Quantitive Estimation and Prediction of Human Risks for Cancer (Paperback)


This volume assesses formal methods for the quantitative estimation and prediction of human cancer risks. Quantitative estimates of cancer risk can be expressed in different ways. In some cases estimates of risk under conditions prevailing in the original data are of primary interest; in others predictions of risk under other conditions are required. Estimates of risk may be based on empirical models that provide a reasonable description of the available data or on models developed on the basis of plausible assumptions about the mechanisms of carcinogenesis. Throughout this volume established scientific principles of carcinogenesis are used to support methods proposed for the quantitative estimation and prediction of risk.

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Product Description

This volume assesses formal methods for the quantitative estimation and prediction of human cancer risks. Quantitative estimates of cancer risk can be expressed in different ways. In some cases estimates of risk under conditions prevailing in the original data are of primary interest; in others predictions of risk under other conditions are required. Estimates of risk may be based on empirical models that provide a reasonable description of the available data or on models developed on the basis of plausible assumptions about the mechanisms of carcinogenesis. Throughout this volume established scientific principles of carcinogenesis are used to support methods proposed for the quantitative estimation and prediction of risk.

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Product Details

General

Imprint

International Agency for Research on Cancer

Country of origin

France

Series

International Agency for Research on Cancer Scientific Publications, No.131

Release date

2001

Availability

Expected to ship within 10 - 15 working days

First published

December 1999

Editors

, , , , ,

Dimensions

254 x 178 x 18mm (L x W x T)

Format

Paperback - Trade

Pages

340

ISBN-13

978-92-832-2131-9

Barcode

9789283221319

Categories

LSN

92-832-2131-1



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