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152 protocols using spss 11

1

Statistical Analysis of Parameters

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The mean and standard deviation of each parameter was calculated for each group. Statistical analysis was performed for each measurement using a Student’s t-test or Scheffé test. P-values <0.05 were inferred as statistically significant. All statistical procedures were done using SPSS 11.0 (IBM Corporation, Armonk, NY, USA).
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2

Analysis of Demographic and Behavioral Factors

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Data were analyzed using the software, SPSS 11.0 (IBM Corporation, Armonk, NY, USA). Chi-square tests were used to compare categorical variables and Student’s t-test was used to compare continuous variables. Independent variables were stratified in a first step that is comprised of demographic variables, and in a second step that is comprised of both behavioral and diagnostic variables. A logistic regression model was used to identify possible confounders, as well as variable interactions. Statistical relevance was considered for a two-tailed (0.05) level of significance (P < 0.05).
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3

Longitudinal Cast Measurements Analysis

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We used the Shapiro–Wilk test and statistical software (SPSS 11.0, IBM Corporation, Armonk, NY, USA) to test all of the data for normality and homogeneity. The results showed that all of the data were reasonably normally distributed for the use of parametric tests (P > 0.05). We used paired t-test to compare the cast measurements between the initial and 81-month follow-up examinations. The level of significance (α) was 0.05.
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4

Comparative Analysis of Gene Expression

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All data were shown as mean ± standard deviation (SD). Data analyses were carried out using a student's t-test, and a value of p < 0.05 was considered statistically significant. The statistical analyses were performed using the SPSS 11.0 software (IBM, USA), and pictures were done using the GraphPad Prism 8 software.
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5

Microbiological Analysis of Bacterial Populations

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The experiments were made in triplicate and then evaluated for each treatment group. The microbiological analysis was expressed as counts (levels) of the 33 bacterial species assessed. Significant differences between the two groups were evaluated using the Kruskal–Wallis test, followed by Dunn’s post hoc test for metabolic activity data and checkerboard data (p ≤ 0.05). The statistical significance was set at 5%. Statistical analyses were performed with SPSS 11.0 (IBM Corporation, Armonk, NY, USA).
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6

Statistical Analysis of Research Data

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The statistical software, namely, SPSS 11.0 (IBM corporation, Chicago USA) and SYSTAT 8.0 (Systat Software Inc., Cranes Software International Limited, Bangalore, India). were used for the analysis of the data and Microsoft Word and Excel have been used to generate graphs, tables, etc.
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7

Statistical Analysis of Post-Embolization Outcomes

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SPSS 11.0 (IBM, Armonk, NY, USA) software was used for the statistical analyses. Numerical parameters with normal Gaussian distribution (according to the Kolmogorov–Smirnov test) were expressed as mean ± standard deviation ( x¯  ± s). Differences in the parameters, among the post-embolization time points within each group or subgroup, were analyzed using repeated measures analysis of variance; a P value of < 0.05 was considered significant.
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8

Statistical Analysis of Quantitative Data

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Statistical analysis was performed using SPSS 11.0 software (IBM Corporation, NY, USA) and GraphPad Prism software. The quantitative data are expressed as the means ± S.E. and were analyzed by ANOVA. Post-hoc comparisons of means were made using Scheffe's or Tukey's methods, where appropriate.
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9

Comparative Analysis of Physiological Parameters

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The mean and SD were calculated for each parameter. Differences between groups were analyzed using Scheffé’s test. P<0.05 was regarded as statistically significant. All statistical procedures were conducted using SPSS 11.0 (IBM Corp., Armonk, NY, USA).
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10

Investigating Neuronal Signaling Pathways

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Data are expressed as mean ± SEM. IBM SPSS11.0 was used to perform statistical analysis. Independent t-test and one-way or two-way ANOVA with Tukey's post-hoc analysis were utilized to compare differences and p< 0.05 was considered statistically significant.
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