Sister chromatid exchange data fit with a mixture of Poisson distributions.
Bowman et al. [K.O. Bowman, Wesley Eddings, Marvin A. Kastenbaum, L. R. Shenton. Sister chromatid exchange data and Gram-Charlier series, Mutat. Res., 403 (1998) 159-169.] have shown that a Gram-Charlier modification of a negative binomial distribution gives a reasonable fit to counts of sister chromatid exchange (SCE) data originally presented by Bender et al. [M.A. Bender, R.J. Preston, R. C. Leonard, B.E. Pyatt, P.C. Gooch, On the distribution of spontaneous SCE in human peripheral blood lymphocytes, Mutat. Res., 281 (1992) 227-232. ]. Here we show that a mixture of a generalized Poisson distributions also fits the data. Advantages of the generalized Poisson mixture include a simplified model involving only four parameters which fits the data more closely according to the chi-squared goodness-of-fit criterion.
Division of HIV/AIDS Prevention, Centers for Disease Control and Prevention, mail stop E48, Atlanta, GA 30333, USA.
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D005260:Female; D006801:Humans; D008214:Lymphocytes / Q000378:metabolism / Q000648:ultrastructure; D008297:Male; D015233:Models, Statistical; D016012:Poisson Distribution; D012854:Sister Chromatid Exchange; D012907:Smoking / Q000009:adverse effects*