比率数据及药物效应的量化

Dwane Anderson , Ralph Lydic
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引用次数: 12

摘要

对以某种比率形式排列的数据进行分析经常被一些使用药理学试剂作为独立变量的学科所采用。当比率的分母项也是一个测量变量时,已经表明在共享公分母的变量之间会产生相关性。因此,当药物条件的数据以非药物对照数据的比率或百分比计算时,由于比率的数学性质,统计分析可能产生误导性的结果。利用药理学实验数据,比较了比率形式的数据分析和以分母变量作为伴随变量的数据分析。结果表明,使用比率分析降低了统计检验的灵敏度。讨论了使用比率的替代方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Ratio data and the quantification of drug effects

Analysis of data which have been arranged in some form of a ratio is frequently employed by several disciplines which use pharmacological agents as independent variables. When the denominator term of the ratio is also a measured variable, it has been shown that correlations are induced between variables sharing the common denominator. Therefore, when data from drug conditions are calculated as ratios or percentages of data from non-drug controls, statistical analyses may produce misleading results due to the mathematical properties of ratios. Using data from a pharmacological experiment, comparisons were made between analysis of data in ratio form and analysis of data where the denominator variable is taken as a concomitant variable. The results indicate that analyses using ratios decrease the sensitivity of the statistical test. Alternatives to the use of ratios are discussed.

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