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一种用于评估抽样误差的微机程序:在电子显微镜体视学方法中的应用。

A microcomputer program for evaluating sampling error: an application to stereological methods for electron microscopy.

作者信息

Herbener G, Goodfliesh R, Fass-Holmes B

机构信息

Department of Anatomical Sciences and Neurobiology, School of Medicine, University of Louisville, Kentucky 40292.

出版信息

Biotech Histochem. 1992 May;67(3):165-70. doi: 10.3109/10520299209110029.

Abstract

In situations where there is a need to minimize sampling error or sample size, the coefficient of variation (CV) may be used to evaluate sampling error as a function of the number of observations or subjects in a sample. For example, CV is useful for estimating the minimum number of electron micrographs (Nmin) required to obtain a representative field sample for stereological analysis. To facilitate the determination of Nmin, we have written a program (COEFficient) for DOS microcomputers which calculates CVs. COEF assists the user in reducing error to that which solely reflects biological variability, thereby minimizing the time and cost of subsequent analyses.

摘要

在需要将抽样误差或样本量降至最低的情况下,变异系数(CV)可用于评估抽样误差,它是样本中观察值或受试者数量的函数。例如,CV对于估计获得用于体视学分析的代表性现场样本所需的最小电子显微镜照片数量(Nmin)很有用。为便于确定Nmin,我们为DOS微型计算机编写了一个计算CV的程序(COEFficient)。COEF有助于用户将误差降低到仅反映生物变异性的程度,从而将后续分析的时间和成本降至最低。

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