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The fitting quality of the experimental data is assessed by computing the parameters such as the 'goodness of fit' χ2 and the R factors (Rp = profile factor, RB = Bragg factor, and RF = crystallographic factor) [20].
Use and management of laboratory data is assessed by monitoring ease of access and retrieval of patient data, as well as laboratory quality indicators like turnaround time.
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Data on personality traits, behavioural factors, and socioeconomic data were assessed by questionnaires.
The normal distribution of the data was assessed by the Shapiro-Wilk test.
Statistical significance of the data was assessed by performing two-tailed χ2 analysis.
Data were assessed by Repeated Measures Variance Analysis via SPSS (15.0).
Years of sport fish consumption, demographic, health, and reproductive data were assessed by survey.
The quality of the data was assessed by an independent clinical research assistant through data monitoring online.
In the case of discrepant conclusions, the data were assessed by a third senior intensivist until a consensus was obtained.
Differences between the two groups (SG versus CART-G data) were assessed by unpaired Student's t test.
A normal distribution of the data was assessed by the D'Agostino & Pearson omnibus normality test.
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