Univariate logistic regression analyses were performed using the patient’s demographic, clinical factors, and technical factors as a potential predictor to quantify the outcome of procedure success. Fifteen predictive factors were entered into the univariate analysis. Then multivariate logistic regression analysis was applied with factors showing a trend towards statistical significance (P < 0.200) in univariate analysis. Factors such as depression, baseline NRS score, performing prognostic block, opioid use, degree of degeneration, prior surgery history, lesion time, and number of nerves targeted (three or five nerves), were selected as the most explanatory variables in univariate analysis and were used in the multivariate model to predict the outcome of the RF procedure success. An odds ratio (OR) with 95% confidence interval (CI) was calculated and P < 0.05 was considered statistically significant.
Spss version 23.0 statistics program
SPSS version 23.0 is a statistics program that allows users to analyze and interpret data. It provides a wide range of statistical procedures for data management, analysis, and presentation.
Lab products found in correlation
2 protocols using spss version 23.0 statistics program
Predicting Radiofrequency Procedure Success
Univariate logistic regression analyses were performed using the patient’s demographic, clinical factors, and technical factors as a potential predictor to quantify the outcome of procedure success. Fifteen predictive factors were entered into the univariate analysis. Then multivariate logistic regression analysis was applied with factors showing a trend towards statistical significance (P < 0.200) in univariate analysis. Factors such as depression, baseline NRS score, performing prognostic block, opioid use, degree of degeneration, prior surgery history, lesion time, and number of nerves targeted (three or five nerves), were selected as the most explanatory variables in univariate analysis and were used in the multivariate model to predict the outcome of the RF procedure success. An odds ratio (OR) with 95% confidence interval (CI) was calculated and P < 0.05 was considered statistically significant.
Efficacy of Pain Management Intervention
Data were analyzed using the SPSS version 23.0 statistics program (IBM Corporation, Armonk, NY). Continuous quantitative data with normal distribution were presented as numbers, mean ± standard deviation, with abnormal distribution were presented as median (interquartile range). The compatibility of the variables to normal distribution was checked with a Kolmogorov–Smirnov test. The paired sample test was applied to parametric data for the statistical evaluation of repeated measurements. For abnormally distributed variables, intragroup distribution was compared using Friedman’s test. If present, within group comparisons of the differences were evaluated using the Bonferroni adjusted Wilcoxon signed ranks for post hoc analysis. P < 0.05 was considered statistically significant.
About PubCompare
Our mission is to provide scientists with the largest repository of trustworthy protocols and intelligent analytical tools, thereby offering them extensive information to design robust protocols aimed at minimizing the risk of failures.
We believe that the most crucial aspect is to grant scientists access to a wide range of reliable sources and new useful tools that surpass human capabilities.
However, we trust in allowing scientists to determine how to construct their own protocols based on this information, as they are the experts in their field.
Ready to get started?
Sign up for free.
Registration takes 20 seconds.
Available from any computer
No download required
Revolutionizing how scientists
search and build protocols!