Statistical Tests for Clonality

normality tests for statistical analysis: a guide for non-statisticians

statistical errors are common in scientific literature and about 50% of the published articles have at least one error. the assumption of normality needs to be checked for many statistical procedures, namely parametric tests, because their validity depends on it. the aim of this commentary is to overview checking for normality in statistical analysis using spss.

Statistical Tests for Optimization Efficiency

Learning problems, such as logistic regression, are typically formulated as pure optimization problems defined on some loss function. We argue that this view ignores the fact that the loss function depends on stochastically generated data which in turn determines an intrinsic scale of precision for statistical estimation. By considering the statistical properties of the update variables used du...

Statistical Tests for Population Bioequivalence

In its 2001 guidance, the U.S. Food and Drug Administration (FDA) recommends that population bioequivalence (PBE) and individual bioequivalence (IBE) be assessed to address respectively the prescribability and switchability between a brand-name drug product and its new formulation or generic copy. For IBE, the FDA recommends a 2×4 crossover design and a statistical test procedure proposed by Hy...

Statistical tests

Error in statistical tests of error in statistical tests

BACKGROUND A recent paper found that terminal digits of statistical values in Nature deviated significantly from an equiprobable distribution, indicating errors or inconsistencies in rounding. This finding, as well as the discovery that a large percentage of p values were inconsistent with reported test statistics, led to a great deal of concern in the popular press and scientific community. Th...