All data obtained were analyzed with SPSS version 18.0 statistical software (SPSS, Inc., Chicago, IL, USA) and verification was performed by the Kruskal-Wallis test and the Mann-Whitney test. Tests were significant at P<0.05.
Spss version 18.0 statistical software
Manufactured by IBM
Sourced in United States
SPSS version 18.0 is a statistical software package developed by IBM. It is designed to analyze and manipulate data for various research and business applications. The software provides a wide range of statistical techniques, including descriptive statistics, bivariate analysis, and multivariate analysis.
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Lab products found in correlation
31 protocols using spss version 18.0 statistical software
1
Statistical Analysis of Experimental Data
2
Statistical Analysis of Clinical Outcomes
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All statistical analyses were performed using SPSS version 18.0 statistical software (Chicago, IL). All descriptive data are expressed as median (range) and for the comparison of more than 2 groups, 1-way analysis of variance (ANOVA) was done. A P value < 0.05 was considered statistically significant. Data are expressed as mean ± standard deviation. The Kaplan–Meier method was used to calculate time-to-event end points (overall survival), which were compared using the log-rank test.
3
Prostate Inflammation and TLR4 Expression
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All experiments were repeated at least three times. Data are presented as mean with standard deviation. Multifactorial ANOVA was used for comparisons between experimental and control groups. Patients were subdivided into two groups: those with or without prostate inflammation. Differences between groups were analysed using Wilcoxon rank sum test. Pearson’s correlation coefficient and multiple regression analyses tested the association between TLR4 mRNA expression level as the dependent variables and patient age, BMI, IPSS-total, IPSS-V, IPSS-S, individual symptoms of IPSS, QOL score, total PSA, TPV, Qmax or PVR as the independent variables. A P value less than 0.05 was considered statistically significant (two-tailed). SPSS version 18.0 statistical software (SPSS Inc., Chicago, IL, USA) was used for analysis of all data.
4
Statistical Analysis of Experimental Data
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The data are expressed as the mean ± standard deviation. All statistical analyses were performed using SPSS version 18.0 statistical software (SPSS, Inc., Chicago, IL, USA). Statistical comparisons of >2 or three groups were performed using Student's t-test or a one-way analysis of variance, followed by a Bonferroni post-hoc test. P<0.05 was considered to indicate a statistically significant difference.
5
Pearson's Chi-Square Statistical Analysis
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Statistical analysis was performed using the SPSS version 18.0 statistical software (SPSS, Chicago, Ill.). The significance was tested using Pearson’s chi-square test. A P value of < 0.05 was considered statistically significant.
6
Comparing Vibrio vulnificus and MRSA Risks
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Statistical analyses were performed with the use of Statistical Product and Service Solutions (SPSS) Version 18.0 statistical software (SPSS, Chicago, Illinois). We used the two-tailed t-test for continuous variables and the Fisher exact test for categorical variables to examine significant relationships between risk factors and outcomes between Vibrio vulnificus and MRSA groups. A value of p < 0.05 was considered significant.
7
Genetic Associations in ONFH
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Data were analyzed by the SPSS version 18.0 statistical software (SPSS, Chicago, IL) and Microsoft Excel. We performed the 2-side chi-square tests to estimate the genotype frequencies of case and control individuals; a P-value of less than 0.05 was considered statistically significant. A Fisher's exact test was used to assess the departure of each SNP frequency from Hardy–Weinberg equilibrium (HWE) in the control subjects. ORs and 95%CIs were determined using unconditional logistic regression analysis with adjustments for age and sex. The relation between the MMP8 gene and the risk of ONFH was tested in dominant and recessive models and also codominant, over-dominant and log-additive effects. We used Akaike's Information Criterion and Bayesian Information Criterion to estimate the best-fit model for each SNP.
8
Bufalin Quantification by Mass Spectrometry
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All data were calculated from the concentration of bufalin using Mass Hunter software. Data are expressed as mean ± standard deviation (SD) and SPSS Version 18.0 statistical software (SPSS, lnc., Chicago, IL, USA) was used to process all the data. For comparisons, chi-squared test, Dunnett's test, Wilcoxon signed-rank test, and Mann–Whitney U-test were performed, as appropriate. P < 0.05 was taken as statistical significance.
9
Torsional Mechanical Testing of Femurs
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After examination of femur specimens, the specimens were sent for mechanical testing. The femur has the weakest bearing ability under torsional force, compared with compressive and tensile forces. Therefore, in this study, we employed a torsional mechanical test to compare mechanical forces among healthy and test femurs. Before the mechanical test, the muscular tissue and implanted metal plate were removed gently in order to preserve the integrity of the specimen. Both ends of each femoral specimen were stabilized by embedding in cylindrical epoxy blocks (radius = 1.5 cm, thickness = 1.3 cm) before testing on a torsional testing machine (Gotech Testing Machines, Inc., Taichung, Taiwan) for the rotational torque and toughness assessments. The rotational speed of the loading head was set at 1.0 rpm. Data from the mechanical torsional test were analyzed using SPSS version 18.0 statistical software (SPSS Inc., Chicago, IL, USA).
10
Statistical Analysis of Qualitative and Quantitative Data
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SPSS version 18.0 statistical software (SPSS Inc., Chicago, IL) was used for all statistical analyses. The actual number (%) was used to represent qualitative data, whereas ± s was used to represent quantitative data. Pearson x2 test or Fisher's exact probability was used to compare the rates between groups for qualitative data. The statistical significance of differences was represented by P < .05.
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