Pearson’s correlation was conducted using SYSTAT (SYSTAT Software Inc., Chicago, IL, USA) and SPSS (PASW Statistics 18.0, SPSS Inc., Chicago, IL, USA). Independent-sample t-test was respectively used for binary variables and continuous variables to compare liver tumor and their adjacent liver tissues. The p-value of the test was 2-tailed with a level of significance (α) = 0.05. A p-value of less than 0.05 indicated statistical significance.
Spss pasw statistics 18
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SPSS PASW Statistics 18.0 is a software package used for statistical analysis. It provides a wide range of data management and statistical analysis capabilities, including data manipulation, visualization, and modeling. The software is designed to help users analyze and interpret data from a variety of sources, including surveys, experiments, and observational studies.
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Lab products found in correlation
28 protocols using spss pasw statistics 18
1
Liver Tumor Analysis Protocol
2
Fibre Anisotropy Impacts on Tractography
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FA values have a significant impact on fibre course plausibility. Since the influence of the minimal fibre lengths seems to represent only an epiphenomenon of the FAT impact (Weiss et al., 2015 ), we here focused the data analysis on the FAT. Pairwise comparisons between the FATs of different somatotopic or localizer-specific fibres were calculated using the Student's t-test (FDR-corrected in case of more than one comparison). Correlations between continuous variables such as the FAT and the dichotomous outcome variable, i.e., the plausibility of the CST fibre course, were calculated using Pearson's product moment (point-biserial correlation).
The statistical analyses were performed using SPSS (PASW Statistics 18.0, SPSS Inc., Chicago, IL, USA) and the R software package (version 3.0.2; R Core Team 2013; RStudio;http://www.R-project.org/ ).
The statistical analyses were performed using SPSS (PASW Statistics 18.0, SPSS Inc., Chicago, IL, USA) and the R software package (version 3.0.2; R Core Team 2013; RStudio;
3
Predicting Alzheimer's Disease Progression
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All statistical analyses were conducted using SPSS PASW Statistics 18.0 (SPSS Inc., Chicago, IL, USA), and the level of statistical significance was set at p ≤ 0.05. The Kolmogorov-Smirnov test was performed to examine the assumption of abnormality before group comparisons were conducted according to the results of the amyloid PET analysis. The parametric independent sample t test and the nonparametric Mann-Whitney U test were then carried out. Cross-tabulation analysis was performed to compare categorical variables such as the sex ratio, the ratio of apolipoprotein E (ApoE) ε4 carriers as a risk factor for AD, and IE's prevalence in the SLVT recall tests.
Logistic regression analysis of the backward stepwise elimination using the likelihood ratio was performed using memory test results to explore the usefulness in estimating ADP. The variables that were entered into the model were as follows: demographics such as age, sex, and years of education; and memory test variables such as the CRs and IEs in the SVLT immediate and delayed recall tests, the score from RCFT immediate and delayed recall tests, and the TPs and FPs in SVLT and RCFT recognition tests. The sensitivity and specificity of the tests' variables for differentiating in AD were analyzed at the optimal level on the receiver-operating characteristic curve.
Logistic regression analysis of the backward stepwise elimination using the likelihood ratio was performed using memory test results to explore the usefulness in estimating ADP. The variables that were entered into the model were as follows: demographics such as age, sex, and years of education; and memory test variables such as the CRs and IEs in the SVLT immediate and delayed recall tests, the score from RCFT immediate and delayed recall tests, and the TPs and FPs in SVLT and RCFT recognition tests. The sensitivity and specificity of the tests' variables for differentiating in AD were analyzed at the optimal level on the receiver-operating characteristic curve.
4
Relationship between Heavy Metals and CKD
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Data are expressed as mean±standard deviation or frequencies (%). Baseline characteristics were compared with chi-square test or Fisher's exact test for categorical variables and Student's t-test for continuous variables. We constructed multivariate logistic regression models to identify independent factors associated with CKD. Univariate and multivariate analysis adjusted for age, sex, BMI, smoking, hyperlipidemia, hypertension, diabetes, and other metals were performed. Crude and adjusted odds ratios (OR) with 95% confidence intervals (CI) were calculated. A one-way analysis of variance (ANOVA) was used to compare the blood heavy metal levels of study population by hypertension and diabetes, and analyzed the polynomial linear P for trend. P values<0.05 were considered statistically significant. All statistical analyses were performed using SPSS PASW statistics 18.0 (IBM, Armonk, NY, USA).
5
Randomized Tissue Morphogenesis Evaluation
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All experiments in this study were designed with a complete randomization of the PGR combinations. The morphogenesis of the tissue explants was observed under a stereomicroscope (SDPTOP SZN71). Five replicates were taken for each treatment, and 5 explants were planted in each culture dish or flask. Data represented the mean ± standard error of the replicates. One-way analysis of variance (ANOVA) for data evaluation and Duncan’s multiple range test [42 (link)] with a 0.05 level of probability were performed using the SPSS PASW Statistics 18.0 software (IBM, Chicago, IL, USA).
6
Comparative Analysis of Questionnaire and Behavioral Data
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A t-test (two-tailed) was used to analyze the questionnaire scores and behavioral data under various conditions for the HC and PT groups. Correlations between inter-participant variables were analyzed by calculating Pearson’s product-moment correlation coefficient. SPSS PASW statistics 18 (International Business Machines Corporation, New York, USA) was used for the statistical analyses.
7
Verteporfin Concentration and SLN Metastasis
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The concentration of verteporfin was given as means ± standard deviation. The SPSS PASW Statistics 18 (IBM Corporation, Armonk, NY, USA) was used for analyzing the difference of concentration using unpaired Student's t-test. The inhibitory effect on SLN metastasis was analysed in Mann-Whitney U test using SPSS PASW Statistics 18. The p value of <0.05 was defined as being statistically significant.
8
Epidemiological Risk Factor Analysis
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Frequencies were obtained and proportions were calculated for categorical variables. The only continuous variable, age, was transformed into a categorical variable using the quartiles of the frequency distribution (≤20, >20–30, >30–50, >50 years). Categorical variables were compared using the Chi square test or the Fisher exact test. Odds ratios (OR), 95% confidence intervals (CI), and P values were calculated. A P value of ≤0.05 was considered statistically significant. Univariable logistic regression models were applied to determine independent risk factors. Multiple logistic regression analysis was carried out by stepwise backward selection of variables with biological plausibility and a significance level <0.10 for entry into the model. Statistical comparisons were performed with SPSS (PASW Statistics 18) software (IBM, Armonk, NY). All susceptibility data were analyzed using WHONET software, version 5.6.
9
Quantifying Circulating Cell-free mtDNA
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Means reported for cf‐mDNA were derived from averages of % baseline, in most cases, from triplicate DNA isolations from each plasma sample. Statistical analyses were performed using SPSS PASW Statistics 18 (IBM Corp, Somers, NY) and Excel. Cf‐mDNA, IL‐6, and lactate data were analyzed using a trial × time repeated‐measures ANOVA. If significant effects were indicated by ANOVA (alpha level, 0.05), post hoc comparisons of control and exercise trials at specific time points or between time points within a trial were made using paired two‐tailed Student's t‐tests (alpha level, 0.05). Shapiro–Wilk normality tests indicated that data sets were not inconsistent with a normal Gaussian distribution.
10
Eurosilicone Implant Safety and Efficacy
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Clinical data were collected on study case report forms and underwent data entry into a validated clinical database. These data were used to assess the safety and efficacy of Eurosilicone implants including the number of reoperations involving implant removal (explantation/exchange), capsular contractures and ruptures, and other local complications. The cumulative risk of reoperations and other complications was calculated on a per patient basis using the Kaplan-Meier risk method (1 − the complication-free survival rate) together with the corresponding 95% confidence intervals (CIs) from the date of surgery to the first date that the complication was reported within 5 years ± 6 months from the annual scheduled visit date. Hence, 5-year Kaplan-Meier risk rates were calculated within 66 months postimplantation using SPSS PASW Statistics 18 (IBM Corporation, New York). Descriptive statistics were also used.
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