Statistical analysis was performed using SPSS 17.0 (Statistical analysis was performed using Statistical Program for Social Science, IBM Corporation (SPSS 17.0)). Demographic data such as age of patients and genders of the patients were compared using independent Student's t-test. Other variables such as different time intervals were expressed in mean ± standard deviation and were compared using independent Student's t-test. Other nonparametric variables such as reasons for delay and effects of delays were compared using Pearson's Chi-square test. P ≤ 0.05 was considered statistically significant.
Spss 17
Manufactured by IBM
Sourced in United States, United Kingdom, Germany, China, Spain, Japan, Hong Kong, Denmark
SPSS 17.0 is a statistical software package developed by IBM. It provides tools for data analysis, data management, and data visualization. The core function of SPSS 17.0 is to enable users to perform statistical analysis on data, including but not limited to regression analysis, hypothesis testing, and descriptive statistics.
Automatically generated - may contain errors
Lab products found in correlation
Prism 5, by GraphPad (37 mentions)
Prism 6, by GraphPad (34 mentions)
Prism 7, by GraphPad (25 mentions)
Prism 8, by GraphPad (18 mentions)
Origin 8, by OriginLab (7 mentions)
Prism 4, by GraphPad (5 mentions)
Sas 9, by SAS Institute (5 mentions)
Sigmaplot 14, by Grafiti LLC (5 mentions)
Originpro 8, by OriginLab (3 mentions)
Spss statistics for window, by IBM (3 mentions)
Statistix 8, by SAS Institute (3 mentions)
Spss statistic, by IBM (2 mentions)
Igor pro 6, by Wavemetrics (2 mentions)
Prism software, by GraphPad (2 mentions)
Simca p 13, by Sartorius (2 mentions)
Origin 2018, by OriginLab (2 mentions)
Sigmaplot 12, by Grafiti LLC (2 mentions)
Gnumeric 1, by IBM (2 mentions)
Origin 2019b, by OriginLab (2 mentions)
Origin 7, by OriginLab (2 mentions)
1 494 protocols using spss 17
1
Analyzing Patient Demographic Factors
2
Statistical Analysis of Biological Data
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SPSS 17.0 (IBM, Armonk, NY, USA) was used for data handling and analyses. Normally distributed continuous data are presented as mean ± SD and were analyzed using ANOVA and the LSD post hoc test. Nonnormally distributed continuous data are presented as median (interquartile) and were analyzed using the Mann-Whitney U test. Categorical data are presented as frequencies and were compared using Fisher's exact test. SPSS 17.0 (IBM, Armonk, NY, USA) was used for data handling and analyses. Statistical significance was defined as P < 0.05.
3
Triplicate Experiments with Statistical Analysis
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All the tests of the experiment were carried out in triplicate. The data are presented as mean values ± standard deviations. Statistical evaluation was performed with the student’s t-test and analyzed using SPSS 17.0.(Statistical Product Service Solution (SPSS 17.0, IBM Corporation, New York, NY, USA) Statistical significances were detected by one-way analysis of variance (ANOVA), followed by Tukey’s test with an α level of 0.05.
4
Multilevel Safety Climate Factors Exploration
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In the current study, the exploratory factor analysis (EFA) was used to identify the potential multilevel safety climate factors. These factors were further verified and relationships among these factors were investigated by the SEM. Data were randomly split in two parts in the SPSS 17.0 (IBM, New York, NY, USA) for Windows software package. Approximately half of the data were used to conduct EFA in the SPSS 17.0 for Windows software package and the remaining data were submitted to SEM in the Analysis of Moment Structures (AMOS) version 17.0 (IBM, New York, NY, USA).
5
Analyzing Microbial Community Structure and Environmental Factors
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Principal coordinate analysis (PCoA) of the community structures was conducted in PAST (http://folk.uio.no/ohammer/past/ ). The significant differences in community structures between data sets were assessed for significance with ANOSIM using PAST. Correlations between community structures and environmental factors were conducted using the R package Vegan (http://cran.r-project.org/web/packages/vegan/index.html ). One-way-analysis of variance (ANOVA), and Pearson’s correlations between T-RFs and environmental factors were conducted using SPSS 17.0 software (IBM, USA). The Pearson correlation coefficient (r) and the coefficient of determination (R2) were used to evaluate the relationship between the sulfate reduction/methane production ratio and the initial sulfate concentrations, which were also analyzed using SPSS 17.0 software (IBM, USA).
6
Reliability and Validity of Persian AEQ
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ICC and Cronbach's alpha were used to assess test–retest reliability and internal consistency. The interval between the test and retest day was one week, and 60 participants filled in the Persian version of AEQ again.[28 (link)29 ] The ICC is more than 0.7 acceptable, and the Cronbach's alpha between 0.7 and 0.95 is also good and acceptable.[28 (link)] The standard error of measurement and minimal detectable change were used to assess measurement error and real changes in within-subjects, respectively.[28 (link)] The standard error of measurement (SEM) and minimal detectable change (MDC) were calculated by these formulas (SEM = SD √ (1-ICC)- SD; standard deviation, MDC = SEM × 1.96 ×
The construct validity was assessed by Spearmen's coefficient correlation between AEQ subscales and TKS, FABQ, FABQ.PA, FABQ.W, NDI, PCS, and VAS. The correlation coefficient <0.3, 0.30.6 are weak, moderate, and strong, respectively.[30 (link)]
The construct validity was assessed by Spearmen's coefficient correlation between AEQ subscales and TKS, FABQ, FABQ.PA, FABQ.W, NDI, PCS, and VAS. The correlation coefficient <0.3, 0.3
7
Prevalence of Migraine and PP Association
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The prevalence study of PP and the possible association with migraine were performed with statistical analysis based on individual patient data entered in a spreadsheet (Microsoft Excel version 16.0 for Windows 10). The collected data were analyzed using statistical analysis software (Stata 9.0 software of StataCorp LP, College Station, TX, USA, IBM SPSS 17 software of IBM Corporation, New York, NY, USA). The data analysis was compared with the data reported in Table 1 using Pearson’s chi-squared test (p < 0.05 and 95% CI).
8
Statistical Analysis of Clinical Outcomes
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Student’s unpaired
t-test was used to compare continuous variables expressed as mean ± standard deviation. Chisquared test was used to compare categorical variables expressed as frequency with percentage. Analysis of variance tests and multiple comparison tests were used for comparison of NIHSS, mRS, and BI scores among individual NPA and placebo group. Mann–Whitney U tests were used to determine a significant change in mRS score at day 11 and after 90 days. Kruskal–Wallis tests were used to determine the existence of statistically significant differences among different groups with change in mRS score at day 11 and after 90 days.
p-Value ≤ 0.05 was considered as statistically significant. The statistical analyses were conducted using SPSS 17 software (IBM. Inc., Texas, United States).
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Student’s unpaired
t-test was used to compare continuous variables expressed as mean ± standard deviation. Chisquared test was used to compare categorical variables expressed as frequency with percentage. Analysis of variance tests and multiple comparison tests were used for comparison of NIHSS, mRS, and BI scores among individual NPA and placebo group. Mann–Whitney U tests were used to determine a significant change in mRS score at day 11 and after 90 days. Kruskal–Wallis tests were used to determine the existence of statistically significant differences among different groups with change in mRS score at day 11 and after 90 days.
p-Value ≤ 0.05 was considered as statistically significant. The statistical analyses were conducted using SPSS 17 software (IBM. Inc., Texas, United States).
9
Evaluating miRNA-378 in Renal Cell Carcinoma
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The relative expression levels of miRNA-378 were reported as the means and standard
deviations. The data were analyzed by SPSS 17 software (IBM, Chicago, IL, USA) with
Wilcoxon rank sum test and H Kruskal-Wallis rank sum test. The sensitivity and
specificity of miRNA-378 were calculated by ROC curve (AUC) based on the data
collected from healthy controls and RCC patients; Graphpad Prism 5.0 software
(GraphPad Software, San Diego, USA) was used for ROC curve analysis. A p < 0. 05
was considered as statistically significant.
deviations. The data were analyzed by SPSS 17 software (IBM, Chicago, IL, USA) with
Wilcoxon rank sum test and H Kruskal-Wallis rank sum test. The sensitivity and
specificity of miRNA-378 were calculated by ROC curve (AUC) based on the data
collected from healthy controls and RCC patients; Graphpad Prism 5.0 software
(GraphPad Software, San Diego, USA) was used for ROC curve analysis. A p < 0. 05
was considered as statistically significant.
10
Genetic Factors in Idiopathic Epilepsy
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Variables were described as the mean and standard deviation or proportion. Differences between participants with and without idiopathic epilepsy were analyzed using chi-square analysis. A p value of <0.05 was considered statistically significant. All statistical analyses were performed using SPSS 17 software (IBM, Cary, NC). Power analyses were conducted using Power and Sample Size Calculation Software (http://powerandsamplesize.com/Calculators/ ). The OTX1 polymorphism genotype distributions in the control group were tested for their conformity to the Hardy-Weinberg equilibrium (HWE). A p value of >0.05 indicated HWE.
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