Parametric approaches to the analysis of in vivo cytogenetics studies

Review of Bayesian statistical analysis methods for cytogenetic radiation biodosimetry, with a practical example

Classical methods of assessing the uncertainty associated with radiation doses estimated using cytogenetic techniques are now extremely well defined. However, several authors have suggested that a Bayesian approach to uncertainty estimation may be more suitable for cytogenetic data, which are inherently stochastic in nature. The Bayesian analysis framework focuses on identification of probability distributions (for yield of aberrations or estimated dose), which also means that uncertainty is an intrinsic part of the analysis, rather than an 'afterthought'. In this paper Bayesian, as well as some more advanced classical, data analysis methods for radiation cytogenetics are reviewed that have been proposed in the literature. A practical overview of Bayesian cytogenetic dose estimation is also presented, with worked examples from the literature.

Multiple regression analysis of cytogenetic human data

Biomonitoring studies on cytogenetic outcomes in humans should be considered as epidemiological studies, rather than randomized trials. Under this light the emphasis given to the achievement of a significant p-value should be reduced, since this measure suffers from major limitations. The use of a point estimate (and its corresponding confidence interval) to measure the association between exposure and effect offers several advantages, including the adjustment for confounding, and the evaluation of possible interaction between factors. In most instances the use of multivariate statistical methods allows an efficient analysis of these studies, even in presence of a small sample size and several covariates. In this paper we re-analyzed four biomonitoring studies by using multivariate methods to estimate relative risks through statistical modeling. The use of multiple regression techniques allowed the computation of point estimates of association and their confidence intervals for each covariate evaluated by the studies considered; the estimate of the effect of confounding variables such as smoking habits, age and gender; and the presence of interaction between covariates. Measures of association estimated through univariate and multivariate statistical approaches are compared. The advantages of the latter technique are discussed.

Sister-chromatid exchange analysis in a rural population of Mexico exposed to pesticides

Cytogenetic damage was evaluated by means of the analysis of sister-chromatid exchange (SCE) in a rural population of Tlaxcala, Mexico, in occupational contact with pesticides. We studied 170 men, 94 exposed and 76 not exposed. It was shown that SCE followed a normal distribution and Student's t test did not present differences between the two groups (P = 0.4). The frequency of SCE was not correlated with the duration of exposure of the rural workers (r = -0.06), the multiple covariance analysis applied to the data of duration of exposure, tobacco intake and alcohol ingestion demonstrated a lack of statistical significance. In the exposed people we observed no symptoms provoked by these compounds.