Statistics notes - Presentation of numerical data .15.
Statistics notes - Presentation of numerical data .15.
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DOI：
10.1136/bmj.312.7030.572
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发表时间：
1996-03-02
影响因子：
105.7
通讯作者：
Bland, JM
中科院分区：
文献类型：
--
作者：
Altman, DG;Bland, JM
连续数据，如血清胆固醇浓度或三头肌皮褶厚度，可以在文本或表格中以数字形式总结，也可以绘制成图表。当给出数字时，问题是如何精确地指定它们。尽可能使用的数值精度应在整个文件中保持一致，特别是在表格中。一般而言，汇总统计量（如平均值）不应超过原始数据的一个额外小数位。这一点通常也适用于可变性或不确定性的度量，如标准差或标准误，尽管这些量可能需要更高的精度，因为它们经常用于进一步的计算。类似的评论适用于回归分析的结果，其中应避免伪精度。例如，回归方程1
Continuous data, such as serum cholesterol concentration or triceps skinfold thickness, can be summarised numerically either in the text or in tables or plotted in a graph. When numbers are given there is the problem of how precisely to specify them. As far as possible the numerical precision used should be consistent throughout a paper and especially within a table. In general, summary statistics such as means should not be given to more than one extra decimal place over the raw data. The same usually applies to measures of variability or uncertainty such as the standard deviation or standard error, though greater precision may be warranted for these quantities as they are often used in further calculations. Similar comments apply to the results of regression analyses, where spurious precision should be avoided. For example, the regression equation 1