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By L. A. Sagan (auth.), Paolo F. Ricci, Leonard A. Sagan, Chris G. Whipple (eds.)

ISBN-10: 9400961553

ISBN-13: 9789400961555

ISBN-10: 940096157X

ISBN-13: 9789400961579

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1 Use of Time-to-Occurrence Data The method discussed in the previous section used only the quantal data on the total numbers of animals in the various treatment qroups. and the number of these animals with tUmors. Timeto-occurrence data such as the time to death and the time to appearance of a tumor are also obtainable from an experiment. Use of these data would permit the estimation of time-dependent quantities, such as loss of life expectancy, which would in turn allow one to account for the different consequences of late- and early-occurring tumors.

4x10- 3 ppm. Thi sis larger than the safe dose obtained previously by 25%. 34 which is over 100 times larger than that obtained from applying the mUltistage model to the exposure dose. Thus, if there is a saturation dose as predicted by the models of {ornfield and Gehring and Blau, application of the multistage methodology to these metabolized doses can in certain instances yield much larger, and probably much more accurate, safe doses than would be obtained from applicatidn of this methodology to the exposure doses.

Each of these uses maximum likelihood methods applied to the multistage model of cancer. However, they make different assumptions about the data and they use different methods for computing confidence limits. The HartleySielken model can be written as P(t;d) where qi ~O = I 1-exp tqsdSH(t) s=o and L:)rtr , b H(t) = r=l br ~O. The Daffer et al. model is identical in form except that H(t) is not given a parametric form; H(t) is an arbitrary nondecreasing function and is estimated nonparametrically.

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Technological Risk Assessment by L. A. Sagan (auth.), Paolo F. Ricci, Leonard A. Sagan, Chris G. Whipple (eds.)


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