Test
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Statistics
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Pharmaceutical industry
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Clinical research
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Medical statistics
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Analysis of variance
Summary statistic
Information, knowledge, and uncertainty
Hypothesis testing
Meta-analysis
Educational psychology research methods
ANOVA
Effect size
In statistics, an effect size is a quantitative measure of the strength of a phenomenon. Examples of effect sizes are the correlation between two variables, the regression coefficient, the mean differ...
Phi coefficient
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Cramér's V (statistics)
Phi coefficient
In statistics, the phi coefficient (also referred to as the "mean square contingency coefficient" and denoted by φ (or rφ)) is a measure of association for two binary variables. Introduced by Karl Pea...
Cramér's V (statistics)
In statistics, Cramér's V (sometimes referred to as Cramér's phi and denoted as φc) is a measure of association between two nominal variables, giving a value between 0 and +1 (inclusive). It is based...
Strictly standardized mean difference
In statistics, the strictly standardized mean difference (SSMD) is a measure of effect size. SSMD is the mean divided by the standard deviation of a difference between two random values each from one ...
Z-factor
The Z-factor is a measure of statistical effect size. It has been proposed for use in high-throughput screening (where it is also known as Z-prime, and commonly written as Z') to judge whether the re...
Standardized mean of a contrast variable
In statistics, the standardized mean of a contrast variable (SMCV or SMC), is a parameter assessing effect size. The SMCV is defined as mean divided by the standard deviation of a contrast variable. T...