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SSMD is the ratio of mean to the standard deviation of the difference between two groups. When the data is preprocessed using log-transformation as we normally do in HTS experiments, SSMD is the mean of log fold change divided by the standard deviation of log fold change with respect to a negative
When there are only two groups involved in a comparison, SMCV is the same as the strictly standardized mean difference (SSMD). SSMD belongs to a popular type of effect-size measure called "standardized mean differences" [ 6 ] which includes Cohen's d {\displaystyle d} [ 7 ] and Glass's δ . {\displaystyle \delta .} [ 8 ]
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The absolute sign in the Z-factor makes it inconvenient to derive the statistical inference of Z-factor mathematically. [6] A recently proposed statistical parameter, strictly standardized mean difference , can address these issues. [5] [6] [7] One estimate of SSMD is robust to outliers.
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This page was last edited on 22 July 2011, at 02:36 (UTC).; Text is available under the Creative Commons Attribution-ShareAlike 4.0 License; additional terms may ...