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Spss version 23.0 statistical

Manufactured by IBM
Sourced in United States

SPSS version 23.0 is a statistical software package developed by IBM. It provides a range of data analysis and statistical modeling tools, including descriptive statistics, regression analysis, and multivariate techniques. The software is designed to help users analyze and interpret data, and to support decision-making processes.

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7 protocols using spss version 23.0 statistical

1

Robust Statistical Analysis of Treatments

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Data were presented as the mean ± standard error of the mean. The statistical significance of the differences between treatment groups was assessed by a Mann–Whitney U-test or an analysis of variance with a Bonferroni post-hoc test using SPSS version 23.0 statistical software (IBM, Armonk, NY, USA). Statistical significance was defined as a two-sided P value < 0.05.
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2

Evaluating Th2 Responses and Gut Microbiota

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Statistical significances in the gene expression, mucin score, and BAL analysis data were evaluated by analysis of variance. P values < 0.05 were considered to indicate statistically significant differences. Statistical analyses except for the analyses of gut microbiota were performed using GraphPad Prism 4.0 (GraphPad Software, San Diego, CA). Data are presented as the mean ± SEM and are representative of at least two independent experiments. The analyses of gut microbiota without the calculation of a false discovery rate (FDR) were performed using SPSS version 23.0 statistical software (IBM Corp., Armonk, NY). Intergroup differences were analyzed using the Mann-Whitney U-test and correlation analysis between gut bacteria and Th2 responses in the lungs were performed by Spearman’s correlation coefficient. Results were adjusted by FDR using the Benjamini and Hochberg method in R software version 3.6.0 (R Foundation for Statistical Computing, http://www.R-project.org/).
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3

Statistical analysis of experimental data

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All experiments were repeated at least three times. Statistical analyses were performed with Student’s t test or One-way ANOVA using SPSS version 23.0 statistical software (IBM). The data are presented as the mean ± SEM or mean ± SD as indicated in the figure legend, and the differences between groups were considered statistically significant when P value < 0.05.
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4

Statistical Analysis of Experimental Groups

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Statistical analyses were performed using IBM SPSS version 23.0 statistical software for Windows. Data were expressed as means ± standard deviations. One-way analysis of variance was used for comparison among the groups, and the post hoc test of Fisher’s Least Significant Difference (LSD) was used for comparison among the groups. p< 0.05 was considered to be statistically significant.
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5

Differential Transcriptional Level Analysis

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The differences between transcriptional levels of two defined groups were based on Student’s t-test or the Mann–Whitney U-test. The relationship of DTL levels with clinicopathological parameters was estimated by applying the chi-squared test. SPSS version 23.0 statistical software from SPSS Inc. (Chicago, IL, USA) was used across this study. p < 0.05 was deemed statistically significant.
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6

Statistical Analysis of Immunocytochemical Staining

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Statistical analyses were performed using the SPSS version 23.0 statistical software.
The data were presented as means ± Standard deviation (SD). Each experiment was performed at least 3 times independently. The difference between groups was analyzed using one-way ANOVA and Tukey's t test. P< 0.05 were considered to be statistically significant. Immunocytochemical staining positive products were quantitatively analyzed by HMIAS-2000 high definition medical image and text analysis system. The intensity of the positive reaction product was expressed by the integral optical density of the image processing system.
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7

Carotid Calcifications and Cardiovascular Risks

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The data were analyzed using descriptive and inferential statistics. Because the data were assumed not to follow a normal distribution pattern, both independent t tests (equal variance not assumed) and nonparametric tests (Mann-Whitney U test) were also performed to assess group differences. Dichotomous data were analyzed using Pearson χ 2 test, Mantel-Haenszel odds ratios. The data were also studied by binominal logistic regression. The Kaplan-Meier estimator (log rank Mantel-Cox) was used to study events of stroke and ischemic heart diseases in study individuals with or without radiographic evidence of carotid calcifications during the study period. Statistical significance was set with α at p < 0.05. The IBM SPSS version 23.0 statistical software package (SPSS Inc., Armonk, NY, USA) for Macintosh computer was used in the analyses.
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