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Thromb Haemost 1971; 26(03): 431-448
DOI: 10.1055/s-0038-1653696
Originalarbeiten – Original Articles – Travaux Originaux
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The Estimation of Blood Platelet Survival

III. The Robustness of the Basic Models
E. A Murphy
1   Departments of Medicine and Biostatistics, Johns Hopkins University School of Medicine, Baltimore, Maryland 21205
› InstitutsangabenThis paper is paper number 465 from the Department of Biostatistics. The research in this series of papers was in part supposted by the Council for Tobacco Research U.S.A. and U . S. P.H. S. Grant Ch 00330-02.
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28. Juni 2018 (online)

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Summary

A study has been made of the distortion introduced by using the multiple-hit (gamma) model for the construction of population curves where some of the underlying assumptions are violated. The three violations, over which, because of physiological evidence, there is greatest occasion for concern, are considered in some detail. These distortions are that a latent interval exists between hits so that true survival would follow a gamma distribution shifted to the right; that the probability of responding to an environmental insult may change with the age of the platelet so that survival would follow an Erlangian distribution; and that platelet destruction may be governed by competing processes of differing relative importances. Under fairly general conditions, the discrepancies between these models (if true) and the “best fit” (minimax) gamma function of integral order are small (less than 3%) especially when compared with the kind of experimental errors usually encountered.

It seems then that until such time as very precisely measured data are available, the multiple-hit model may be used with confidence at least as a device for estimating the mean.

It is pointed out, however, that the estimation of the number of hits to destruction, or the mean waiting time between them separately, is likely to be imprecise. Nevertheless, the estimation of the mean (which is the ratio of the number of hits to the reciprocal of the waiting time) may still be much more satisfactory than estimates not explicity defended by rational models. The latter consideration is statistical and will be dealt with in a later paper in this series.

 

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