Statistical analysis was performed using the SPSS statistical software program Version 15.0 (SPSS Inc., Chicago, IL, USA). Data from all these experiments were reported as mean ± standard deviation for each group. Intergroup differences were analyzed by one-way analysis of variance. Correlation between expressions of p53 and lncRNA HOTAIR was analyzed with regression analysis. Differences with P-value of <0.05 were considered statistically significant.
Spss statistical software program version 15
Manufactured by IBM
Sourced in United States
SPSS Statistics is a software program for statistical analysis. Version 15.0 includes tools for data management, analysis, and presentation. The core function of this software is to provide users with capabilities for statistical modeling, data mining, text analytics, and collaboration.
Automatically generated - may contain errors
Lab products found in correlation
6 protocols using spss statistical software program version 15
1
Analyzing Correlations between p53 and lncRNA HOTAIR
2
Survival Analysis and Prognostic Factors
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Statistical analysis was performed using the SPSS statistical software program Version 15.0 (SPSS Inc., USA). Survival plots were generated using the Kaplan-Meier method, and differences between patient groups were determined by a log-rank test. A multivariate Cox regression analysis was performed for overall survival and relapse free survival. The analysis was stratified for all known prognostic variables (age, sex, smoking status, tumor type, and stage) and for mRNA expression.
3
Survival Analysis of PD-L1 Expression
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Statistical analysis was performed as previously described [30 (link),31 (link)]. The χ2 test was applied for continuous or discrete data analysis. The associations between PD-L1 expression and patient survival were estimated using the Kaplan–Meier method and assessed using the log-rank test. Potential confounders were adjusted by Cox regression models, with the PD-L1 fitted as indicator variables. Gender, smoking, stage and grade were adjusted in multivariate analysis. Overall survival time was defined as the interval between the date of surgery and the date of last follow-up or death. The medium follow-up time after surgery was 3.8 years (range from 0.1 to 11.1 years). All statistical analyses were conducted using the SPSS statistical software program (version 15.0) (SPSS, Inc., Chicago, IL). All statistical tests were 2-sided, and the values of P<0.050 were considered statistically significant.
4
Survival Analysis of PBK/TOPK Biomarker
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The Student t test, Fisher’s exact test, and the χ2 test were applied for continuous or discrete data analysis. The associations between PBK/TOPK score and patient survival were estimated using the Kaplan–Meier method and assessed using the log-rank test. Potential confounders were adjusted by Cox regression models, with the PBK/TOPK score fitted as indicator variables. Overall survival time was defined as the interval between the date of surgery and the date of last follow-up or death. All statistical analyses were conducted using the SPSS statistical software program (version 15.0) (SPSS, Inc., Chicago, IL). All statistical tests were 2-sided, and the values of P <0.050 were considered statistically significant.
5
Statistical Analysis of Experimental Data
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Statistical analysis was performed using the SPSS statistical software program Version 15.0 (SPSS Inc., Chicago, IL, United States). Data are represented as means ± standard deviation (SD). Comparisons between two groups were performed using Student’s t-test, and one-way analysis of variance (ANOVA) was used for multiple comparisons. Each sample was analyzed in triplicate, and the experiments were repeated three times. P < 0.05 was considered to indicate a statistically significant difference.
6
Survival Analysis of Cdk1 Expression
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The Student t test, Fisher's exact test and the χ2 test were applied for continuous or discrete data analysis. The associations between the Cdk1 and patient survival were estimated using the Kaplan–Meier method and assessed using the log-rank test. Potential confounders were adjusted by Cox regression models, with the Cdk1 fitted as indicator variables. Overall survival time was defined as the interval between the date of surgery and the date of last follow-up or death. All statistical analyses were conducted using the SPSS statistical software program (version 15.0) (SPSS, Inc., Chicago, IL). All statistical tests were 2-sided, and the values of P <0.050 were considered statistically significant.
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