Data were analyzed using the SPSS statistics 16.0 software package. Results are presented as mean ± standard deviation (SD). One-way ANOVA was used to compare differences among groups, followed by LSD post-hoc tests. The P values < 0.05 were considered statistically significant.
Spss statistics 16
Manufactured by IBM
Sourced in United States
SPSS Statistics 16.0 is a comprehensive software package designed for statistical analysis. It offers a wide range of data management, analysis, and reporting capabilities. The core function of SPSS Statistics 16.0 is to provide users with advanced statistical tools and techniques to analyze and interpret data.
Automatically generated - may contain errors
Lab products found in correlation
Statview software, by Abacus (3 mentions)
Prism 6, by GraphPad (2 mentions)
Excel 2016, by IBM (2 mentions)
Prism 7, by IBM (1 mentions)
Spss software version 16, by IBM (1 mentions)
Prism 5, by GraphPad (1 mentions)
Prism 7, by GraphPad (1 mentions)
R version 3, by R Project for Statistical Computing (1 mentions)
Spss 16.0 for window, by IBM (1 mentions)
Origin 2019b, by OriginLab (1 mentions)
E prime 2, by Psychology Software Tools (1 mentions)
Multiskan fc microplate photometer, by Thermo Fisher Scientific (1 mentions)
Cell counting kit 8 (cck8), by MedChemExpress (1 mentions)
122 protocols using spss statistics 16
1
Statistical Analysis of Experimental Data
2
Predicting Outcomes in Moderate to Severe Traumatic Brain Injury
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This is a prospective observational study approved by the Committee of Ethical Study of Sanglah General Hospital in Denpasar, Indonesia. All subjects involved in this study have provided written informed consent signed by their parents, next of kin, or legal guardians.
Subjects were taken from all eligible patients admitted to the ED of Sanglah General Hospital in 2017. Selection criteria include moderate or severe TBI case, aged 18 years old without respiratory distress, cardiologic problems, or multiple trauma upon admission. Both MCTC and RTS were documented during the first 60 minutes after the patient was admitted to ED. The Glasgow Outcome Scale (GOS) was observed six months after the injury took place.
We calculated the predictive power of each RTS, MCTC, and the combination of both to generate the highest Youden’s index. Youden’s index is a single statistic that captures the performance of a dichotomous diagnostic test. Pearson’s correlation was then calculated to determine the correlation between RTS and MCTC. We used logistic regression analysis to determine the independent association of unfavorable outcomes. Analysis was carried out using SPSS statistics 16.0, and a P-value of <0.05 was considered statistically significant.
Subjects were taken from all eligible patients admitted to the ED of Sanglah General Hospital in 2017. Selection criteria include moderate or severe TBI case, aged 18 years old without respiratory distress, cardiologic problems, or multiple trauma upon admission. Both MCTC and RTS were documented during the first 60 minutes after the patient was admitted to ED. The Glasgow Outcome Scale (GOS) was observed six months after the injury took place.
We calculated the predictive power of each RTS, MCTC, and the combination of both to generate the highest Youden’s index. Youden’s index is a single statistic that captures the performance of a dichotomous diagnostic test. Pearson’s correlation was then calculated to determine the correlation between RTS and MCTC. We used logistic regression analysis to determine the independent association of unfavorable outcomes. Analysis was carried out using SPSS statistics 16.0, and a P-value of <0.05 was considered statistically significant.
3
Antinutrient Effects on Gut Morphology
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The data of the growth performance, duodenal and jejunal morphology, serum biochemical indexes, antioxidant index, and mRNA expression were analyzed using one-way analysis of variance (ANOVA) with Duncan’s multiple range tests using SPSS Statistics 16.0 (SPSS Inc., Chicago, IL, USA). Data were shown as mean values with standard error. For all tests, a probability level of p < 0.05 was considered as a statistically significant difference, while p < 0.01 was a very significant difference.
4
Antioxidant Activity and Lipid Profile
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The results are expressed as mean ± SEM. Data were analyzed using one-way analysis of variance (ANOVA) followed by Duncan's multiple-range test. Correlation analysis was obtained by Pearson correlation test. The statistical significance was considered at p-value < 0.05 using SPSS statistics 16.0 (SPSS Inc., Chicago, IL., USA).
5
Triplicate Experiments for Statistical Analysis
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All experiments were performed in triplicate, unless otherwise indicated. Data were expressed as means ± standard deviations. Statistical analysis was performed using SPSS Statistics 16.0 (Chicago, IL, USA) using one-way analysis of variance, followed by the Tukey’s multiple-comparison test to evaluate between-group differences. P < 0.05 was considered statistically significant.
6
Statistical Analysis of Experimental Data
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Data were analyzed using the SPSS statistics 16.0 software package. Comparisons were performed using the Student's t test between two groups or ANOVA in multiple groups. A P value < 0.05 was considered to be statistically significant.
7
Statistical Analysis of OSCC Pathology
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The data were analyzed using data statistics software (GraphPad Prism 7.0 and SPSS Statistics 16.0). The data are presented as the means and standard deviations. Student’s t-test was performed for two independent samples, while analysis of variance (ANOVA) was used for multiple independent samples, and post-hoc comparisons were made. The correlation between CSTB expression and the degree of pathological differentiation in IHC analysis was determined using Fisher’s exact test. Logistic regression analysis was performed to analyze the relationship between the expression of CSTB and the clinicopathological characteristics of OSCC patients. The correlation between genes in WGCNA was analyzed using Pearson’s correlation. p-Value <0.05 was considered statistically significant.
A snapshot of the entire experimental process is shown inFigure 1
A snapshot of the entire experimental process is shown in
8
Termite Heavy Metal Accumulation
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All data obtained from the experiment were presented as mean ± SE and subjected to the one-way analysis of variance test (ANOVA) from which the significant relationships between the accumulation of heavy metals in termites and their inhabited sites were established. All statistical procedures were performed with the SPSS statistics 16.0 software (SPSS Inc., Chicago, IL, USA). The differences were considered significant, when the p-values were ≤0.01 and ≤0.05. In addition, the Pearson’s correlation coefficients (r) were calculated to check the possible relationship/interactions between the heavy metal concentrations in different localities and their samples.
9
Wound Fluid Cytokine Dynamics
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All statistical analyses were performed using the SPSS statistics 16.0 software package (SPSS Inc., Chicago, USA). A p-value of < 0.05 was considered statistically significant. The computer program PRISM (version 5; GraphPad Inc., USA) and Image J (NIH, USA) were used to create graphs, process images and perform statistical analysis. The independent T-test (cell co-culture tests) and Mann-Whitney test (WF composition analysis) were applied to evaluate the differences between unrelated groups. Paired T-test and Wilcoxon test were used to assess differences between WF samples drained from chest wall and axillary wounds. The Kruskal-Wallis H test was employed to evaluate discordances in the concentrations of various cytokines during the prolongation of postoperative period.
10
Statistical Analysis of Biological Triplicates
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Statistical analyses were performed using SPSS Statistics 16.0 (SPSS Inc.) software. All experiments were repeated in biological triplicate. Data are presented as means ± standard deviation (SD). Comparisons were made using one-way ANOVA or Student’s t-test. The statistical significance was defined by *P < 0.05 or **P < 0.001.
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