Lansky D
Cereon Genomics, LLC, Cambridge, MA 02139, USA.
Dev Biol (Basel). 2002;107:11-23.
By paying careful attention to the experimental units and, randomizing where it is reasonable, we are able to devise designs for cell culture bioassay which are statistically legitimate and practical in the laboratory. These designs, strip-plot layouts, can accommodate linear or non-linear models, fixed or mixed models, and can provide good protection from location effects. Non-linear mixed models using these designs can be extended to address serial dilution error. A statistically based approach which includes randomization and proper design is a powerful tool for identifying subtle effects of factors within and outside bioassays; this attention to statistical detail is a necessary first step towards continuous improvement of biological assays.
通过仔细关注实验单位，并在合理的情况下进行随机化处理，我们能够设计出在实验室中具有统计学合理性且实用的细胞培养生物测定设计。这些设计，即条区图布局，能够适应线性或非线性模型、固定或混合模型，并且能够很好地抵御位置效应。使用这些设计的非线性混合模型可以扩展以解决系列稀释误差问题。一种基于统计学的方法，包括随机化和合理设计，是识别生物测定内部和外部因素细微影响的有力工具；对统计细节的这种关注是生物测定持续改进的必要第一步。
