The temperature mean value of each specimen was analyzed using the Kolmogorov-Smirnov test and presenting normal distribution and homogeneity of variance. Thus, analysis of variance (ANOVA) was used. Statistical analysis was performed with SPSS software for Windows, version 12.0 (SPSS Inc., Chicago, IL, USA).
Spss software for windows version 12
Manufactured by IBM
Sourced in United States
SPSS for Windows, version 12.0 is a software application for statistical data analysis. It provides a comprehensive set of tools for data management, analysis, and reporting.
Automatically generated - may contain errors
Lab products found in correlation
33 protocols using spss software for windows version 12
1
Temperature Analysis of Specimens
2
Factors Affecting Oral Yeast Colonization
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SPSS software for Windows (version 12.0) was used to analyze the data. Items on the data-collection form were tested for association with frequency (incidence) of yeast colonization and multiplicity of species. Many factors were assessed including age, sex, body mass index (BMI), education, wheelchair use (mobility effect), smoking, betel nut chewing, number of missing teeth, number of dentures, frequency of brushing teeth, mouthwash use, having dry mouth, having periodontal disease and/or tartar, having chronic disease (hypertension, diabetes mellitus, heart disease, osteoporosis, stroke, gout, arthritis, kidney disease), and taking medicine. The chi-squared or Fisher’s exact test with 1-tailed correction was applied for categorical variables and the Student’s t-test was used for continuous variables. Logistic regression was applied to assess the independent effects of factors with values less than 0.05 in univariate analysis. A p value less than 0.05 was considered significant.
3
Statistical Analysis of Clinical Data
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Statistical analysis was performed using SPSS Software for Windows, version 12.0 (SPSS Inc., Chicago, IL, USA). Descriptive analyses were conducted for demographic, clinical, and laboratory data. Differences in proportions were analyzed by χ2 or Fisher’s exact and Mann–Whitney tests. All reported p-values were two-sided, with values <0.05 considered statistically significant. Odds ratios (ORs) were calculated with their 95% confidence intervals (CIs).
4
Comparison of Treatment Efficacy
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Data are expressed as the mean ± standard error. Statistical analysis was performed using ANOVA and an unpaired Student′s t-test. A P-value of 0.05 or less was considered statistically significant. Statistical calculations were performed using SPSS software for Windows Version 12.0 (SPSS, Chicago, IL).
5
Wear-induced Material Behavior Analysis
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The experimental data were statistically analyzed with ANOVA (parametric) to assess the influence of wear on the material behaviors. The Duncan test (P < 0.05) was used for multiple comparisons. Statistical analysis was performed with SPSS software for Windows, version 12.0 (SPSS Inc., Chicago, IL, USA).
6
Statistical Analysis of Experimental Data
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Data handling and analyses were performed with SPSS software for Windows, version 12.0, and a p < 0.05 was considered statistically significant. Proportions of each factor were compared between groups using the Mann–Whitney U test and the Fisher’s exact probability test, and group means were compared using the t-test.
7
Validating Serological Antibody Testing
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Statistical analysis was performed using SPSS Software for Windows, version 12.0 (SPSS Inc., Chicago, IL, USA). To validate the serological antibody testing, we examined its sensitivity, specificity, positive predictability, and accuracy in the data. All reported p-values were two-sided and considered statistically significant as p-value < 0.05. We established a logistic regression model to verify the testing agreement between rapid serological antibody testing and the chemiluminescent immunoassay. To evaluate the adequacy of each model, we used a Hosmer–Lemeshow test in which we considered the goodness-of-fit of each model if the p-value was >0.05. Nagelkerke’s R2 was used to define the power of explanation of the logistic regression model. Odds ratios were calculated using 95% confidence intervals (CIs).
8
Comparative Efficacy of Therapeutic Interventions
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All data are represented as the mean and SEM. Statistical analysis was performed by using the Student's t-test for independent samples. P < 0.05 was considered statistically significant. The SPSS software for Windows Version 12.0 (SPSS, Chicago, IL, USA) was used.
9
Statistical Analysis of Experimental Data
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T-tests and correlation coefficient calculations were performed using the SPSS software for Windows Version 12.0 (SPSS, Chicago, IL, USA). The error bars represent the mean±s.d.
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T-tests and correlation coefficient calculations were performed using the SPSS software for Windows Version 12.0 (SPSS, Chicago, IL, USA). The error bars represent the mean±s.d.
10
LINC00460 Expression in Cancer Prognosis
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Statistical analyses were conducted using SPSS software for Windows, version 12.0 (SPSS, Inc.). Samples were classified as 'high' or 'low' according to whether LINC00460 expression was higher or lower than the median for all samples. Survival curves were drawn with the Kaplan-Meier method and statistical analysis was performed using the log-rank test. The t-test was used to compare data between 2 groups. One-way ANOVA with Tukey's post-hoc test was used for comparisons among multiple groups.
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