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All primary and secondary variables measured at baseline will be compared using means, medians, standard deviations, ranges or frequencies, and percentages.
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The factor structure between the previously published long form and the present long form will be compared using mean and covariance structures modeling (MACS; Little 1997).
Second, externalizing psychopathology, socio-demographics and offense characteristics were compared using means for continuous and percentages for categorical variables, and between-group differences were calculated using χ-tests for the categorical and Student's t-tests for the continuous variables.
Frequency distributions of sociodemographic, reproductive, medical and behavioral factors among groups defined by ICHD-II (any migraine, no migraine) and the cohort were compared using means (± standard deviation (SD)) for continuous variables and counts and percentages for categorical variables.
The effectiveness of the noise removing methods was compared using mean square error.
Also, errors of linear and nonlinear models are compared using Mean Square Error (MSE).
Accuracy of these models were compared using mean prediction bias and root mean squared error (RMSE) produced by these models in estimating diameter inside bark along the bole.
Bioavailabilities of the fixed and non-fixed AS/AQ formulations were compared using mean AUC0-t.
Transcript abundance was compared using mean of ΔΔCt values calculated for all cDNA dilutions using PFI0425w (putative transporter) as endogenous normalizer and the control condition as reference.
Baseline characteristics will be compared using descriptive statistics (mean, SD, 95% CIs).
The models' results were compared using root mean squared error (RMSE) and coefficient of determination (R 2) error statistics.
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