Sentence examples for using standard statistical analyses from inspiring English sources

Each draw represents a random sample of the missing values and is then used for multiple-imputation inference such that a number of data sets (equal to the number of draws) of 'complete' cases are analysed using standard statistical analyses.

Further, and possibly of greater concern, is there may be an underappreciation of the effect of non-randomised allocation on results, including the P-value, when using standard statistical analyses.

We will carry out descriptive analyses using standard statistical methods (Pearson chi-square test, one-way ANOVA analyses, Mann Whitney U-tests whenever appropriate) investigating differences in demographic characteristics, psychiatric history, and phenotypic presentation.

Statistical analyses were conducted using standard statistical computer software (IBM SPSS Statistics 20.0).

The E-score, therefore, provides information about the utility of an element beyond a simple ranking by outcome-related p value and gives CER investigators a more thorough understanding of the true utility of each data element allowing for more advanced data mining and multivariate analyses using standard statistical and machine learning techniques.

The driver behaviour was then analysed using standard statistical tests.

Network data should not be analysed using standard statistical tests based on ordinary least squares because of the inherent non-independence of dyadic interaction data: if one individual is an outlier, then all of the cells in the relevant row and/or column of a data matrix will also be outliers.

The m imputed datasets are each analysed using standard statistical methods.

Data were analysed using standard statistical methods (see Online Supplementary Information).

The data were analysed using standard statistical techniques to obtain the mean and the standard deviation of myelin sheath counts.

The quantitative data obtained by the questionnaires and neighbourhood observations will be analysed using standard statistical software packages (SPSS) and software packages suitable for multi level analysis to adjust for clustering within the data set (SAS, MlWin).