Sensitivity and specificity of normality tests and consequences on reference interval accuracy at small sample size: a computer-simulation study.

@article{Boedec2016SensitivityAS,
  title={Sensitivity and specificity of normality tests and consequences on reference interval accuracy at small sample size: a computer-simulation study.},
  author={Kevin Le Boedec},
  journal={Veterinary clinical pathology},
  year={2016},
  volume={45 4},
  pages={
          648-656
        }
}
BACKGROUND According to international guidelines, parametric methods must be chosen for RI construction when the sample size is small and the distribution is Gaussian. However, normality tests may not be accurate at small sample size. OBJECTIVES The purpose of the study was to evaluate normality test performance to properly identify samples extracted from a Gaussian population at small sample sizes, and assess the consequences on RI accuracy of applying parametric methods to samples that… CONTINUE READING
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