The univariate and multivariate analysis of postoperative survival was estimated by the simple and multiple Cox proportional hazards regression models, respectively. Characteristics significantly associated with postoperative survival in the multivariate analysis were included in the scoring system. The scoring point for each significant factor was derived from the hazard ratios on multiple Cox proportional hazards regression model. The total prognostic score for each patient was determined by adding the scoring points of every significant factor. Regarding postoperative function outcome, the ambulatory status in prognostic groups was compared with Chi-square test. A P value of 0.05 or less was considered statistically significant. Statistical analysis was performed using SAS 9.2 software for windows XP (SAS Institute Inc., Cary, NC).
Sas 9.2 software for windows xp
Manufactured by SAS Institute
Sourced in United States
SAS 9.2 software for Windows XP is a data analysis and statistical software package. It provides tools for data management, analysis, and reporting. The software is designed to work on the Windows XP operating system.
Automatically generated - may contain errors
Lab products found in correlation
3 protocols using sas 9.2 software for windows xp
1
Postoperative Survival Prognostic Scoring
2
Risk Algorithm for Patient Demographics
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The patient’s demographics were collected and presented in the study. The risk algorithm was developed based on significant variables identified by the multiple logistic regression analysis (method=stepwise). The correct classification rate, sensitivity, specificity, false positive rate, and false negative rate of the model with and without the age variable were also calculated in the study. All analyses were performed using SAS 9.2 software for Windows XP (SAS Institute Inc., Cary, NC). A P value of 0.05 or less was considered statistically significant.
3
Quantifying Spinal Cord Compression Angle
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The circumferential angle of spinal cord compression was assessed using Adobe Photoshop CS6 (Adobe Systems, Inc., San Jose, CA, USA) and Neusoft PACS/RIS version 3.1 (solution to management digital images in our hospital; http://www.neusoft.com/cn/, accessed June 7, 2016, in Chinese). Univariate and multivariate analyses of imaging characteristics for postoperative motor status were performed using the ordered logistic regression model, because the data for postoperative motor status were ordinal (Frankel grades). The circumferential angle of spinal cord compression was carefully evaluated between subgroups using a simple logistic regression model. The preoperative and postoperative motor statuses were compared with a chi-square test. A p value of .05 or less was considered statistically significant. Statistical analysis was performed using SAS 9.2 software for windows XP (SAS Institute Inc., Cary, NC, USA).
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