Except for the cell tests, the average and standard deviations were calculated for each condition tested and statistical differences were determined via a one way ANOVA-test in the 95% confidence interval, followed by a Sidak post hoc test, for multiple comparisons. IBM SPSS Statistics Version 20 (IBM Corporation, New York, United States) software package was used as statistical software and two values were considered significantly different when p < 0.05. Error bars represent the standard deviations in all graphs. In case of cell-data, the average values of various parameters such as number of focal adhesions and circularity were statistically compared by means of a non-parametric Kruskal-Wallis test. IBM SPSS Statistics Version 20 (IBM Corporation, New York, United States) software package was used as statistical software. The boxplots were generated with R statistical freeware (The R Development Core Team) [43] . Two values were considered significantly different when p < 0.05. Error bars represent standard deviations.
Spss statistics version 20
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Sourced in United States, Japan, United Kingdom, Germany, Austria, Belgium
SPSS Statistics version 20 is a comprehensive software package for statistical analysis. It provides a wide range of statistical procedures and techniques for data management, analysis, and presentation. The software is designed to handle a variety of data types and can be used for tasks such as descriptive statistics, regression analysis, and hypothesis testing.
Automatically generated - may contain errors
Lab products found in correlation
Sas 9, by SAS Institute (16 mentions)
Prism 6, by GraphPad (12 mentions)
Sas version 9, by SAS Institute (7 mentions)
Prism 8, by GraphPad (7 mentions)
Spss statistics for windows version 20, by IBM (7 mentions)
Excel 2010, by IBM (5 mentions)
Prism 7, by GraphPad (5 mentions)
Prism 5, by GraphPad (4 mentions)
Spss version 20, by IBM (3 mentions)
Stata version 12, by StataCorp (3 mentions)
Prism 9, by GraphPad (3 mentions)
Excel 2013, by IBM (3 mentions)
Sas version 9, by IBM (3 mentions)
Stata se 12, by StataCorp (2 mentions)
Prism version 5, by GraphPad (2 mentions)
Prism version 7, by GraphPad (2 mentions)
Prism v6, by GraphPad (2 mentions)
Prism 6, by IBM (2 mentions)
Ms excel 2010, by IBM (2 mentions)
R project, by R Project for Statistical Computing (2 mentions)
2 343 protocols using spss statistics version 20
1
Cell Adhesion and Morphology Analysis
2
Survival Analysis of Protein Expression
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Microsoft Excel or IBM SPSS statistics version 20.0 were used for statistical analyses as detailed in Supplemental Materials and Methods . For statistical analysis of the TMA results, the staining intensity values were dichotomized (absence and weak vs moderate and high) to optimize the survival analysis. Kaplan-Meier curves, log-rank test, and univariate Cox regression were used for the univariate survival analysis (progression-free survival and overall survival analysis), and Cox regression was used for the multivariate analysis. Statistical analyses were performed using IBM SPSS Statistics, version 20.0 (IBM Corp). All statistical tests were 2-sided, and nominal P < .05 was considered statistically significant.
3
Evaluating Apolipoprotein D in Parkinson's Disease
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Because the data of the 90 Healthy European Caucasian subjects were not normally distributed (Shapiro–Wilk test), nonparametric tests were used for inferential statistics. The Kruskal–Wallis H test (“one-way ANOVA on ranks”) was used to determine if there were statistically significant differences between the three groups of an independent variable (APOD). Post hoc between-group comparisons were performed using the Mann–Whitney U test. Since the data of the white Americans (66 PD patients and 19 healthy subjects) were normally distributed (Shapiro–Wilk test), parametric tests were used for inferential statistics. The one-way analysis of variance (ANOVA) was used to determine any statistically significant differences between groups. Post hoc comparisons were performed using Tukey's multiple comparison test to evaluate whether there was any difference between groups after adjusting for multiple testing. Logistic regression was used to predict the probability that PD stage was influenced by ApoD levels. Age, gender, and PD medications were considered as covariates. Statistical analyses were carried out using the SPSS® Statistics version 20.0. p < 0.05 was set as a significant value for the first level of analysis.
Statistical analyses were carried out using the SPSS Statistics version 20.0. p < 0.05 was set as a significant value for the first level of analysis.
Statistical analyses were carried out using the SPSS Statistics version 20.0. p < 0.05 was set as a significant value for the first level of analysis.
4
Leaf Angle Measurement and Heritability
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Five individuals from the middle of single plot were chosen to measure the leaf angle (LA) 10 days after flowering. Using the digital display protractor, we measured the LA of eight consecutive leaves below the tassel by manual refer to Hou et al.(2015) .
LA of the first leaf (the first leaf below tassel) was abbreviated as 1stLA, LA of the second leaf below the tassel was abbreviated as 2ndLA, etc.
The phenotypic data of LA were determined as the average of each family from two replications in single environment. The variance components of genotype, environment, and G×E(genotype interacts with environment) were calculated by SPSS Statistics version 20.0 software with general linear model (GLM) program (http://www.spss.com). Broad-sense heritability (݄ ଶ ) for each LA of eight leaves was
, where ߪ ଶ is the genetic variance, ߪ ଶ is the interaction variance between the genotype and environment, ߪ ଶ is the error variance, n is the number of the environments and r is the number of replications in each environment (Hallauer et al., 2010) . Phenotypic correlation coefficients (r) between LA of eight leaves in each environment were also estimated by SPSS Statistics version 20.0 with Bivariate program.
LA of the first leaf (the first leaf below tassel) was abbreviated as 1stLA, LA of the second leaf below the tassel was abbreviated as 2ndLA, etc.
The phenotypic data of LA were determined as the average of each family from two replications in single environment. The variance components of genotype, environment, and G×E(genotype interacts with environment) were calculated by SPSS Statistics version 20.0 software with general linear model (GLM) program (http://www.spss.com). Broad-sense heritability (݄ ଶ ) for each LA of eight leaves was
, where ߪ ଶ is the genetic variance, ߪ ଶ is the interaction variance between the genotype and environment, ߪ ଶ is the error variance, n is the number of the environments and r is the number of replications in each environment (Hallauer et al., 2010) . Phenotypic correlation coefficients (r) between LA of eight leaves in each environment were also estimated by SPSS Statistics version 20.0 with Bivariate program.
5
Age-Partitioned Reference Intervals for PNI
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The data were analyzed with the statistical programming language R and IBM SPSS Statistics version 20.0 software (IBM Corp.).13 Data were finally reported as a median and interquartile range (IQR), 2.5 percentile and 97.5 percentile, appropriately. And the normal distribution was analyzed by using the Kolgomorov‐Smirnov test. Mann‐Whitney U test and Kruskal‐Wallis test were applied for comparisons of two or more than two groups, while the ggplot2 package was applied to data visualization.14 We established age‐partitioned reference intervals for PNI based on significant correlation and visual identification of the relationship between age and PNI. We calculated 95% of reference intervals by bootstrap in IBM SPSS Statistics version 20. All p values <0.05 were considered statistically significant.
6
Differential circRNA Expression in TSCC
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Data are presented as the mean ± SEM. The statistical significance of microarray data was analyzed by fold change using a paired Student's t-test and the false discovery rate was calculated to correct the P-value using SPSS Statistics version 20.0 software (IBM Corp.). Fold change ≥2.0 or ≤0.5 and P<0.05 were applied to find the differentially expressed circRNAs. The remaining statistical analysis was performed using SPSS Statistics version 20.0 software (IBM Corp.). Differences were determined by a paired Student's t-test for paracancer and TSCC groups. P<0.05 was considered to indicate a statistically significant difference.
7
Statistical Analysis of Cytological Data
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For statistical analysis of cytological data, Student’s t was applied using IBM®SPSS® Statistics version 20.0 (SPSS Inc., USA) software and arcsine-transformed percentages were used where appropriate. Statistical significance (p≤0.05) of gene expression between the two coffee varieties was determined by the non-parametric Mann–Whitney U test using IBM®SPSS® Statistics version 20.0 (SPSS Inc., USA) software.
8
Quantifying GNPTAB and GNPTG mRNA Levels
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Values obtained for the relative quantification of GNPTAB and GNPTG mRNA in patients and controls samples were compared using Student's test (IBM SPSS Statistics version 20). The analysis of gene copy number was compared using analysis of variance (IBM SPSS Statistics version 20, Armonk, NY, USA). For both analyses, P-values of o0.05 were considered statistically significant.
9
Assumptions Testing and ANOVA Analysis
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Tests of assumptions of ANOVA regarding the normality of residues, homogeneity of variances and additivity of blocks at 1% were carried out by IBM SPSS Statistics version 20.0 (Marôco, 2011) . Once the assumptions were accepted, the data were submitted to analysis of variance (ANOVA), with the F test at 5% probability. The doses of the organomineral were compared with the mineral by Dunnett's test at 0.05 significance out by IBM SPSS Statistics version 20.0 (Marôco, 2011) . The regression analyzes were performed using the computer program SISVAR (Ferreira, 2008) .
10
Predicting 30-Day Readmission with LACE+ Index
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Data are reported as median (interquartile range) unless otherwise stated. Univariate comparisons were performed with χ2, Fisher exact, Mann-Whitney U tests, and Kruskal Wallis ANOVA on Ranks as appropriate. A two-sided p < 0.05 was considered statistically significant in all analyses. To calculate corrected levels of significance in cases of multiple comparisons in the univariate analyses, adjusted significance level was calculated using Bonferroni correction. Kaplan-Meier analysis, Log rank test, and multivariable Cox regression analysis (with backward elimination) were used to determine whether the LACE+ index category was associated with 30-day readmission. We included the LACE+ index both as continuous and categorical variable in the Cox-regression models to calculate hazard ratios (HR) with corresponding 95% confidence intervals (CI). Models were adjusted for discharge status, index admission mRS, dyslipidemia, anti-platelet therapy use, and anticoagulation use. All statistical analyses were performed using IBM SPSS Statistics version 20.0.0 (IBM, Armonk, NY).
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