Spss 15.0 software package
SPSS 15.0 is a software package that provides statistical analysis, data management, and data visualization capabilities. It is designed to help users analyze and interpret data. The software includes tools for descriptive statistics, regression analysis, factor analysis, and more. SPSS 15.0 is widely used in academic, research, and business settings.
Lab products found in correlation
10 protocols using spss 15.0 software package
Comparative Analysis of Measurement Data
Retrospective Comparison of Glioblastoma Treatments
We estimated PDFS and OS with the Kaplan-Meier method. The univariate survival analysis was used to identify the prognostic parameters. We used the log-rank test to assess the significance of survival differences for the considered parameters (p values ≤ 0,05 were considered as statistically significant). We also performed a multivariate analysis (Cox regression) to quantify the relationship between survival and potential predictors, in order to identify a subgroup of independent factors significantly related to survival. All the statistical analyses were performed with the SPSS 15.0 software package for Windows.
Tinnitus Handicap Inventory Reduction Comparison
Statistical analysis will be performed by the Medical College of China Three Gorges University, No.8, University Avenue, Yichang, Hubei, China. The statistician is blinded from the allocation of groups. The SPSS 15.0 software package (SPSS Inc., Chicago, IL, USA) will be used to analyze the data.
Snoring and Carotid Intima-Media Thickness
Intraductal Appearance and Malignancy
Expert Consensus on Treatment Options
A chi-square test was used to confirm the presence or absence of consensus on each option/question. No significant difference between categories indicated lack of consensus.
The SPSS 15.0 software package (SPSS Inc., Chicago, IL, USA) was used for the analyses of preference rankings and multiple responses.
Prognostic Significance of LOC554202 in Prostate Cancer
Centralization of Esophageal Surgery
Statistical Analysis of Experimental Data
Categorical data parameters were presented in the form of frequency and percentage and analyzed for group differences using the Chi-square test or the Fisher exact test (χ2 value) according to the nature of the data. Continuous data parameters were analyzed for normality using the Shapiro-Wilk test; accordingly, central tendency of the data was presented in the form of mean for normally distributed data or median for a non-parametric distribution. Comparative analysis was carried out using the Mann-Whitney U-test (Z value) for two independent samples, the Wilcoxon signed rank test (Z value) for paired samples, and analysis of variance in association with Fisher's least significant difference for multiple samples. Groups were assumed to differ significantly when the p < 0.05 and highly significant when the p < 0.001. Non-significant difference was assumed if the p ≥ 0.05. Graphic presentation of data was performed using MS Excel 2007 software.
Genetic and Smoking Factors in NSCLC
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