Lovell David P, Omori Takashi
Department of Biostatistics, Postgraduate Medical School, University of Surrey, Daphne Jackson Road, Manor Park, Guildford, Surrey GU2 7WG, UK.
Mutagenesis. 2008 May;23(3):171-82. doi: 10.1093/mutage/gen015. Epub 2008 Apr 2.
The comet or single-cell gel electrophoresis assay is now widely used in regulatory, mechanistic and biomonitoring studies using a range of in vitro and in vivo systems. Each of these has issues associated with the experimental design which determine to a large extent the statistical analyses than can be used. A key concept is that the experimental unit is the smallest 'amount' of experimental material that can be randomly assigned to a treatment: the animal for in vivo studies and the culture for in vitro studies. Biomonitoring studies, being observational rather than experimental, are vulnerable to confounding and biases. Critical factors in any statistical analysis include the identification of suitable end points, the choice of measure to represent the distribution of the comet end point in a sample of cells, estimates of variability between experimental units and the identification of the size of effects that could be considered biologically important. Power and sample size calculations can be used in conjunction with this information to identify optimum experimental sizes and provide help in combining the results of statistical analyses with other information to aid interpretation. Interpretation based upon the size of effects and their confidence intervals is preferred to that based solely upon statistical significance tests. Statistical issues associated with the design and subsequent analyses of current validation studies for the comet assay include the identification of acceptable levels of intra- and inter-laboratory repeatability and reproducibility and criteria for dichotomizing results into positive or negative.
彗星试验或单细胞凝胶电泳分析目前广泛应用于监管、机制和生物监测研究,使用一系列体外和体内系统。这些研究中的每一项都存在与实验设计相关的问题,这些问题在很大程度上决定了可以使用的统计分析方法。一个关键概念是,实验单位是可以随机分配到一种处理的最小“量”的实验材料:体内研究中的动物和体外研究中的培养物。生物监测研究是观察性的而非实验性的,容易受到混杂因素和偏差的影响。任何统计分析中的关键因素包括确定合适的终点、选择代表细胞样本中彗星终点分布的测量方法、估计实验单位之间的变异性以及确定可被视为具有生物学重要性的效应大小。功效和样本量计算可结合这些信息来确定最佳实验规模,并在将统计分析结果与其他信息相结合以辅助解释方面提供帮助。基于效应大小及其置信区间的解释比仅基于统计显著性检验的解释更可取。与彗星试验当前验证研究的设计及后续分析相关的统计问题包括确定实验室内部和实验室间可接受的重复性和再现性水平,以及将结果分为阳性或阴性的标准。