The Statistical Package for Social Sciences, version 13.0 (SPSS, Chicago, IL) was used for statistical analysis. The Kaplan-Meier method was used to calculate the overall survival. The log–rank test was used to compare the survival curves. Multivariate cox regression analyses was used to test independent significant prognostic factors for OS. All statistical tests were two-sided, and p < .05 was considered statistically significant.
Statistical package for social sciences version 13
Manufactured by IBM
Sourced in United States
SPSS version 13.0 is a statistical software package used for analyzing and managing data. It provides a range of tools for data processing, statistical analysis, and visualization. The software is designed to handle a variety of data types and can be used for a wide range of applications, including market research, social sciences, and healthcare.
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Lab products found in correlation
37 protocols using statistical package for social sciences version 13
1
Survival Analysis of Patient Outcomes
2
Statistical Analysis of Proportional Data
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Statistical analysis was completed with Statistical Package for Social Sciences version 13.0 (SPSS, USA). Proportional data in groups were compared in chi-squared analysis. Statistical significance was attributed to two-tailed P < 0.05.
3
Heroin Relapse and Brain Connectivity
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Spearman correlation analysis was used to identify the correlation between DTI indices (mean FA, RD, and AD values in the ROIs) and the positive urinalysis rate of HR within the 6‐month follow‐up period after baseline. The positive urinalysis rate was calculated by the proportion of positive urinalyses in all urinalyses of every patient in HR group. The general linear model was used to regress out the covariates of nuisance including age, years of education, duration and dosage of smoking, and heroin/methadone use. Due to the intergroup difference of the age, duration of smoking and history of methadone used prebaseline, we checked the potential correlations between these variates and the states of heroin relapse (i.e., relapse or abstinence) or the DTI indices, using the binary logistic regression and pearson correlation analysis, respectively. Two‐sample t‐test and correlation analysis were performed using the Statistical Package for Social Sciences version 13.0 (SPSS Inc., Chicago, IL, USA). A P‐value of 0.05 or less was considered statistically significant.
4
Comparing Baseline Variables and TTP
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For comparisons of baseline variables, Student’s t test was used for continuous variables, and the Chi square test was used for categorical variables. TTP was estimated using the Kaplan–Meier method and compared using the log-rank test. The patients without tumor progression were censored. A P value < 0.05 was considered significant. All statistical processing was performed using the Statistical Package for Social Sciences version 13.0 (SPSS Inc., Chicago, IL, USA).
5
Multivariate Survival Analysis Methodology
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The Statistical Package for Social Sciences, version 13.0 (SPSS, Chicago, IL) was used for statistical analysis. The Kaplan-Meier method was used to calculate overall survival (OS) and compared using the log-rank test. Factors with p <0.1 were included in multivariate analysis. The Cox model was used for multivariate analysis of OS. All statistical tests were two-sided, and p <0.05 was considered statistically significant.
6
Serum CXCL16 Biomarker Analysis
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All analyses were performed with Statistical Package for Social Sciences version 13.0 (SPSS, Chicago, IL), and the statistical analysis was done similarly as described by Lin Z. et al[15] (link). Normally distributed data were expressed as mean ± SD. Data that were not normally distributed, as determined using the Kolmogorox-Smirnov test, were logarithmically transformed before analysis and expressed as the median with interquartile range. Student's unpaired t-test was used for comparison between the two groups. Pearson's correlations were used for comparisons between groups when appropriate, and multiple testing was corrected using Bonferroni correction. The variables which correlated significantly with serum CXCL16 (after Bonferroni correction for multiple testing) were selected to enter into stepwise logistic regression. In all statistical tests, P-values <0.05 were considered significant.
7
Comparison of Preoperative and Postoperative Outcomes
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Continuous data were descripted as means ± SD. The paired-samples t test was performed for statistical analysis to compare the preoperative and postoperative AOFAS, VAS score using the Statistical Package for Social Sciences, version 13.0 (SPSS INC., Chicago, IL, USA). All tests were two-tailed, and p < 0.05 suggested a statistically significant difference. The 95% confidence interval of the difference (CI) was recorded as the paired difference.
8
Statistical Analysis of Experimental Data
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All statistical analyses were conducted using the Statistical Package for Social Sciences, version 13.0 (SPSS Inc., Chicago, IL, USA). Measurement data were expressed as mean ± standard deviation (SD) or as median and ranged as appropriate. A P < 0.05 was considered as statistically significant.
9
Diagnostic Accuracy of Vascular Imaging
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Patients were classified according to the occurrence or absence of CHS. The sensitivities, specificities, positive predictive values (PPV) and negative predictive values (NPV) of VR and VBI were calculated. Differences in hemodynamic parameters between the CHS and non-CHS groups were compared using the Chi-square test or Fisher's exact test for categorical variables and the Mann–Whitney U-test for continuous variables, as appropriate.
For the assessment of the accuracy of each parameter in discriminating CHS from non-CHS patients, we performed a receiver operating characteristic (ROC) analysis. For the ROC analysis, we used MedCalc version 17.0.0 (MedCalc Software, Mariakerke, Belgium). Other statistical analyses were performed using the Statistical Package for Social Sciences version 13.0 (SPSS Inc., USA). A confidence level of less than 5% (P < 0.05) was considered significant.
For the assessment of the accuracy of each parameter in discriminating CHS from non-CHS patients, we performed a receiver operating characteristic (ROC) analysis. For the ROC analysis, we used MedCalc version 17.0.0 (MedCalc Software, Mariakerke, Belgium). Other statistical analyses were performed using the Statistical Package for Social Sciences version 13.0 (SPSS Inc., USA). A confidence level of less than 5% (P < 0.05) was considered significant.
10
Long-Term Imaging and Survival Analysis
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After completion of treatment, the patients underwent contrast-enhanced CT scanning of the chest and abdominal region and MRI of the head every 3 months for 2 years, and every 6 months thereafter. Bone scintigraphy was performed every 6 months for 2 years, and every 12 months thereafter. All statistical analyses were performed using the Statistical Package for Social Sciences version 13.0 (SPSS; Chicago, IL, USA). The significance of differences in proportions was assessed with the χ2 test. Kaplan–Meier analyses were performed to estimate LRPFS and OS and the log-rank test to compare the survival curves. The Cox proportional hazards model was used to perform multivariate analyses to assess the LRPFS and OS. Results were considered statistically significant when the two-tailed P value was <0.05.
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