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We report the analysis of four types of control charts based on a normality assumption.
In the frequentist approach to statistical analysis, confidence intervals (CIs) are typically based on a normality assumption and, in the case of a 95% confidence interval, correspond to the estimated parameter ± 1.96 times the standard error.
For this purpose we applied an expectation-maximisation algorithm to the available score data to estimate means and covariances based on a normality assumption and chose imputations that maximise the likelihood.
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In order to overcome these limitations of current GSA-GWA, we propose SNP-PRAGE, a SNP-based parametric robust analysis of gene-set enrichment, which is based on a simple normality assumption.
The results of the Kolmogorov-Smirnov and Shapiro Wilks tests (KStest = 0.095, df =164, p <.001; SWtest = 0.096, df = 164, p = 0.004) indicated that the study phenomenon did not fit a normal distribution, and therefore any norms should not be based on a model of normality.
Finally, we considered a score based on a direct test for normality using the Wilk-Shapiro test (WS) [ 46].
We show how the correlations between vital signs, captured in a data fusion index based on a probabilistic model of normality [ 2], change during times of cardiorespiratory instability.
For example, in a sensitivity analysis to assess the impact of the Normality assumption (analysis assuming Normality e.g. T-test vs. analysis without assuming Normality e.g. Based on a sign test) and outlier (analysis with and without outlier), this can be achieved through 2x2 factorial design.
The model is based on a transformation of the data to normality and on analytical (conditionally) unbiased estimators of the quantities of interest.
We employ the "independence working matrices" assumption of Prentice and Zhao [ 15], approximating the elements of V * based on a simplifying assumption of independence and normality among the elements of Y.
Definition of abbreviation: CCU, Critical Care Unit; H1, Hospital 1; Hospitalital 2. The analyses of reliability and validity and the tests of normality were based on a sub-sample of 164 nurses, corresponding to those who completed the whole of the ECNQ-CCV.
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