Author: E. Cardis
Edition: 1
Publisher: World Health Organization
Binding: Paperback
ISBN: 9283221311
Quantitative Estimation and Prediction of Human Cancer Risks (IARC Scientific Publications)
This volume assesses formal methods for the quantitative estimation and prediction of human cancer risks. Medical books 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 Medical books Quantitative Estimation and Prediction of Human Cancer Risks. Categories: Cancer->Epidemiology, Health risk assessment->Statistical methods, Cancer->Epidemiology. Contributors: E. Cardis - Author. Format: Paperback
Download link for Quantitative Estimation and Prediction of Human Cancer Risks
Categories: Cancer->Epidemiology, Health risk assessment->Statistical methods, Cancer->Epidemiology. Contributors: E. Cardis - Author. Format: Paperback
Categories: Cancer->Epidemiology, Health risk assessment->Statistical methods, Cancer->Epidemiology. Contributors: E. Cardis - Author. Format: Paperback
Categories: Cancer->Epidemiology, Health risk assessment->Statistical methods, Cancer->Epidemiolog. Contributors: E. Cardis - Author. Format: Paperback
Author: Moller, H. ISBN-10: 9283221313
Medical Book 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.