The SPSS statistical package version 16.0 for Windows (SPSS Inc., Chicago, IL, USA) was used to perform all statistical evaluations. Pearson’s χ2 test was performed to assess the conformance of the observed genotype frequencies to Hardy-Weinberg equilibrium, frequency of genotype/allele, dominant model (GG+GA vs. AA), and recessive model (GG vs. GA+AA) in athletes compared to non-athletes. We examined the association of the ALDH2 rs671 genotype with subject muscle-function-test scores using a one-way analysis of variance and an analysis of covariance (adjusted for sex, age, BMI, and exercise habits). P-values < 0.05 were considered to indicate statistical significance.
Spss version 16.0 statistical package for windows
Manufactured by IBM
Sourced in United States
SPSS version 16.0 is a statistical software package for Windows. It provides tools for data analysis, data management, and data documentation.
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Lab products found in correlation
8 protocols using spss version 16.0 statistical package for windows
1
ALDH2 Genotype and Muscle Function
2
Exhaled Nitric Oxide Analysis
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All data analysis was performed using SPSS statistical package version 16.0 for windows (SPSS, Chicago, IL, USA). The data was examined for distribution and homogeneity of variances was checked before applying parametric tests. The data on FENO and n NO were expressed as mean ± SD. The variables were compared between the four groups using one-way analysis of variance (ANOVA) and the post hoc Bonferroni alpha significant difference test for multiple comparisons. The univariate analyses of factors associated with FENO was done using Pearson correlation. The conventional 5% level (P < 0.05) was considered to be statistically significant.
3
Statistical Analysis of Experimental Data
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Statistical analysis was performed using Student t test for unpaired data . Pearson correlation test was used when appropriate. An alpha value <0.05 was considered statistically significant. The SPSS statistical package version 16.0 for Windows (SPSS, Inc., Chicago, IL, USA) was used to perform all statistical evaluations.
4
Ultrasound Lesion Characterization and Diagnosis
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The SPSS version 16.0 statistical package for Windows (SPSS Inc, Chicago, IL) was used for statistical analysis. The lesion was characterized using BI-RADS ultrasound descriptors of mass margin (circumscribed, or not circumscribed (indistinct, microlobulated, angular or speculated)), shape (regular (oval or round) or irregular), orientation (parallel or not parallel to the skin), matrix echogenicity (complex or not complex (anechoic, hypoechoic, isoechoic, or hyperechoic)), posterior acoustic feature (absent or present (enhancement, shadowing or combined pattern)), calcification (present or absent), and vascularity (present or absent) [7 ]. The t test was applied to determine whether the patients’ age and the maximum diameter of the tumor were different in the benign and malignant groups. Fisher's exact test was performed to determine whether the lesion descriptors were different in the benign and malignant groups. For these tests, a p value less than 0.05 was considered statistically significant. The diagnostic indices including odds ratio (OR) (95% confidence interval (95% CI)), sensitivity, specificity, positive and negative predictive value (PPV and NPV), and the receiver operating characteristic (ROC) curve were determined with exact 95% confidence intervals.
5
Analyzing Blood Profile Changes
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Data were presented as mean ± SD (Standard deviation). The chi - square test was performed to determine differences at baseline in frequencies of categorized variables between the groups and mean differences were analyzed by analysis of covariance (ANCOVA). The paired t-test was used to analyze mean differences for all measured parameters between baseline and the end of the intervention period. To demonstrate the association between baseline blood profiles and mean change of various parameters, partial correlation coefficients analysis was conducted. Data within each group were analyzed by repeated measures analysis of variance to establish significant differences in treatment. Statistical analyses were performed with SPSS version 16.0 statistical package for Windows (SPSS Inc., Chicago, Illinois). The P value of less than 0.05 was considered statistically significant.
6
Multivariate Analysis of Volatile Compounds in Salted Fish
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Statistical analyses were performed using the SPSS version 16.0 statistical package for windows (SPSS Inc.). One‐way analysis of variance (ANOVA) and correlation analyses were performed with SAS 8.2 (SAS Institute Inc.). The means were compared by Fisher's least significant difference (LSD) test. The level of significance was set at p < .05. Multivariate data analysis (PCA) was applied to obtain a more comprehensible overview of volatile compounds and to investigate possible correlations among salted fish.
7
Diagnostic Accuracy of MRI Techniques in Malignant Lesions
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The data collected were statistically analyzed using appropriate statistical tools. All the statistical data were assessed for the sensitivity, specificity, positive predictive value, negative predictive value, and diagnostic accuracy of these different techniques as compared with the histopathological findings.
The SPSS version 16.0 statistical package for Windows (SPSS Inc.) was used for statistical analysis. The mean age was determined. The statistical significance of various MRI techniques was established with respect to the malignant lesions on histopathology using chi-square and Fisher’s exact test. For these tests, a P-value less than 0.05 was considered statistically significant. Receiver-operating characteristic (ROC) curves were drawn for ADC values and a mean was derived.
The SPSS version 16.0 statistical package for Windows (SPSS Inc.) was used for statistical analysis. The mean age was determined. The statistical significance of various MRI techniques was established with respect to the malignant lesions on histopathology using chi-square and Fisher’s exact test. For these tests, a P-value less than 0.05 was considered statistically significant. Receiver-operating characteristic (ROC) curves were drawn for ADC values and a mean was derived.
8
Statistical Analysis of Experimental Data
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Data were expressed as the mean ± standard deviation. One-way analyses of variance of means (ANOVA) have been performed using SPSS Version 16.0 Statistical Package for Windows (SPSS Corporation, Chicago, IL), and the mean differences of the various samples were compared by a post-hoc test (Duncan multiple mean comparison test). A difference of p ≤ 0.05 was considered significant.
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