Logarithmic Transformations in ANOVA
Copyright policy )Logarithmic Transformations in ANOVA
A method is presented for choosing an additive constant c when transforming data x to y = log(x + c). The method preserves Type I error probability and power in ANOVA under the assumption that the x + c for some c are log-normally distributed. The method has advantages similar to those of rank transformations--namely, it is easy to use and is resistant to extreme observations. Since the special case c----infinity corresponds in ANOVA to y = x, the method is a useful generalization of least squares.
- University of Minnesota System United States
- University of Minnesota United States
Digoxin, generalization of least squares, Heart Ventricles, likelihood, skewness, Analysis of variance and covariance (ANOVA), robust methods, log-normal distribution, Type I error probability, Double-Blind Method, Drug Therapy, Humans, Robustness and adaptive procedures (parametric inference), logarithmic transformations, Skin, Analysis of Variance, Clinical Trials as Topic, kurtosis, Arrhythmias, Cardiac, Research Design, rank transformations, Anti-Arrhythmia Agents, Hair
Digoxin, generalization of least squares, Heart Ventricles, likelihood, skewness, Analysis of variance and covariance (ANOVA), robust methods, log-normal distribution, Type I error probability, Double-Blind Method, Drug Therapy, Humans, Robustness and adaptive procedures (parametric inference), logarithmic transformations, Skin, Analysis of Variance, Clinical Trials as Topic, kurtosis, Arrhythmias, Cardiac, Research Design, rank transformations, Anti-Arrhythmia Agents, Hair
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