stochastic effect

stochastic effect

(stŏ-kas′tik, stō-)
A phenomenon that occurs purely by chance.
References in periodicals archive ?
The subject of the tender is in particular the need to face the situation that children represent a risk group in terms of the probability of inducing adverse effects of stochastic effects of ionizing radiation.
A lot of what we know about stochastic effects in humans, Seward said, comes from long-term studies of the survivors of the atomic bombs dropped on Hiroshima and Nagasaki.
Stochastic effects do not have known thresholds, and the BEIR VII reports indicate a linear related response from very low exposure to radiation.
The intent of this collection of papers is to give health professionals and researchers an understanding of the deterministic and stochastic effects and biomarkers related to early and late health risk.
Fears regarding stochastic effects are driving the current wave of alarm regarding CT.
Stochastic effects are variables present when the amount of material being examined is small and they can affect the reliability of the test.
4-8) The American College of Radiology, the International Council on Radiological Protection (IRCP), and the European Commission's Radiation Protection Actions Committee have all raised concerns about the increasing radiation exposure from CT and its potential stochastic effects on patients and on radiosensitive tissues.
Control measures, evolving contact patterns, stochastic effects, and potential acquired immunity will all impact this doubling time (equivalently, the growth in case counts) and ultimately lead to a flattening of the growth observed to date.
It is therefore not only stochastic effects that will dominate radioprotection, but, more decisively, it is the cumulative aspect of radiation risk, especially for cancers.
Thus, stochastic effects might tend to undermine the validity of a structure-based antitrust policy or the efficacy of structural screens as currently applied.
Systems Biology is now entering a mature phase in which the key issues are characterising uncertainty and stochastic effects in mathematical models of biological systems.

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