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390 protocols using spss statistics ver 20

1

Evaluating Reliability and Validity of PALS

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The investigator’s first and second PALS coding data (both total and average intensity level of PA data) were compared to examine intrarater reliability. A difference within the rater was calculated using the average proportion of agreement. Also, intraclass coefficients with a 95% confidence interval [CI] was performed using IBM SPSS Statistics ver. 20.0 (IBM Co., Armonk, NY, USA).
To examine interrater reliability, two investigator’s PALS data (both total and average intensity level of PA data) were compared. A difference between the raters was calculated using the average proportion of agreement and the average of the modified Cohen kappa. Also, an intraclass coefficient with a 95% CI was examined.
A Pearson correlation coefficients were used to determine criterion validity evidence of the PALS data by comparing total intensity levels of PA from the PALS data and total activity counts from Actical accelerometers. IBM SPSS Statistics ver. 20.0 (IBM Co., Armonk, NY, USA) was used to conduct the analysis.
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2

Comparative Analysis of Research Paper Visuals

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Results were analyzed using IBM SPSS Statistics ver. 20.0 (IBM Co., Armonk, NY, USA). The number of figures, photos, and graphs were compared between case reports and original articles using Student's t-test. The color indexes of photos, graphs, and overall papers were compared between case reports and original articles using Wilcoxon rank-sum tests. As for the survey participants, differences in experience of using e-readers and fields of interest according to sex and position were compared using Fisher's exact test. The Mantel-Haenszel χ2 test was used to identify trends according to PGY. Differences in questionnaire responses according to sex, position, and experience of using an e-reader were compared using Wilcoxon rank-sum tests. The Mantel-Haenszel χ2 test was used to identify trends according to age.
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3

Urinary Nitric Oxide Synthase in Overactive Bladder

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The sample size, calculated by the expected mean difference of 0.01, the standard deviation of 0.008, beta error of 0.2, and alpha error of 0.05, was planned to recruit 15 patients per county and a total of 30 patients, taking into account 10% dropout rates per county. All data are reported as means with standard error of means. The mean values were statistically compared using the Mann-Whitney U-test for all continuous variables and Fisher exact test for categorical variables. We analyzed the correlations between each NOS isoform in the urothelium and the urodynamic parameters using Spearman correlation analysis. All statistical analyses were performed using IBM SPSS Statistics ver. 20.0 (IBM Co., Armonk, NY, USA). A P-value of <0.05 indicated a significant difference.
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4

Analyzing Exercise Training Effects

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Data analysis was performed using IBM SPSS Statistics ver. 20.0 (IBM Co., Armonk, NY, USA) data are presented as mean and standard deviations. The Kolmogorov–Smirnov test was conducted to test data normal distribution. Changes in the PP and the FB mean values within and between groups at the three evaluation points were analyzed using the repeated measures analysis of variance with pairwise comparisons, with two “within-subjects” factors; treatment (AET, RET, control) and time (evaluation-1, evaluation-2, evaluation-3) to test hypothesis within and between groups. The level of significance was set at P<0.05.
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5

Predictors of Nocturia Improvement

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Descriptive data on patients’ characteristics, laboratory results, and clinical parameters were described. The paired t-test or Wilcoxon signed-rank test was performed to determine the significance of differences in the number of daytime or nocturnal voids and each parameter of the questionnaires at each followup visit compared to baseline. The Wilcoxon signed-rank test was used when the data did not show a normal distribution or there were <20 cases. Multivariate logistic regression analysis was performed to identify predictors of meaningful improvement in nocturia in response to 0.4 mg of tamsulosin. P-values <0.05 were considered to indicate statistical significance. All statistical analyses were performed using IBM SPSS Statistics ver. 20.0 (IBM Co., Armonk, NY, USA).
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6

Statistical Analysis of Research Data

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Statistical analysis was performed using IBM SPSS Statistics ver. 20.0 (IBM Co., Armonk, NY, USA). Chi-square tests, and t test were applied to the data to compare variables; P<0.05 was regarded statistically significant.
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7

Statistical Analysis of Categorical and Continuous Data

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Data were analyzed using IBM SPSS Statistics ver. 20.0 (IBM Co., Armonk, NY, USA). The chi-square test and Fisher exact test were used to compare categorical variables. The unpaired two sample t-test was performed to compare continuous variables. A P-value of <0.05 was considered significant.
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8

Statistical Analysis of Experimental Data

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Data management were analyzed by the IBM SPSS Statistics ver. 20.0 (IBM Corp., Armonk, NY, USA) for Windows statistical program. Statistical analysis was done with one-way ANOVA, then by Dunnett's multiple comparison tests to compare three or more groups. The Student's t-test was employed to compare each group. A p-value less than 0.05 was considered to be statistically meaningful. All data are presented as the mean±standard deviation of at least three separate experiments.
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9

Longitudinal Changes in ADHD Assessments

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Longitudinal changes in K-ARS and KOSA-18 scores of the subjects were evaluated by the paired t-test/Wilcoxon signed rank test, while comparisons between follow-up completed subjects and follow-up lost subjects at a certain time point were performed by the independent t-test. Group comparisons with regard to the longitudinal changes in K-ARS and KOSA-18 scores at each time point were performed by the repeated measures analysis of variance (RM-ANOVA)/Kruskal-Wallis test. Statistical analyses were performed using IBM SPSS Statistics ver. 20.0 (IBM Co., Armonk, NY, USA). The criterion for statistical significance was set at P>0.05.
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10

Preoperative CT Imaging Evaluation

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Statistical evaluation was performed using IBM SPSS Statistics ver. 20.0 (IBM Co., Armonk, NY, USA). Continuous variables were analyzed using the analysis of variance test, and data are presented as means (ranges). Categorical variables were analyzed using the chi-square test or Fisher exact test. We also calculated the sensitivity and the specificity for preoperative CT imaging. A P ≤ 0.05 was deemed to be statistically significant.
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