Spss for mac 9 v 27

Data were summarized using descriptive statistics including count and percentages for categorical variables. Non-parametric tests were used for analyses. Mann-Whitney U test was used for scale data. Chi-squared and Fisher’s exact tests were used for categorical variable analysis. Univariate analysis was performed to identify factors associated with PJI. Factors with a trend to significance (p ≤ 0.100) were entered in the multivariable (binary logistic) regression model to identify factors associated with risk of developing a PJI. Univariate analyses were performed to identify factors associated with improved chances of success following treatment. A p-value of < 0.05 was considered significant. All analysis was performed using SPSS for Mac 9 v. 27 (IBM, USA).

Data are reported in accordance with STrengthening the Reporting of OBservational studies in Epidemiology guidelines.^{33 (link)}
Data were summarized using descriptive statistics including count and percentages for categorical variables. Continuous variables were described using the mean and SD, and categorical variables were presented with total count and percentages. The chi-squared and Fisher’s exact tests were used to test for differences between categorical variables, and the Kruskal-Wallis test was used for continuous variables. A multivariable binary logistic regression model was fitted to assess the impact of patient, disease, radiological, and surgical factors on joint preservation rate and achieving MCID and PASS, while adjusting for potential confounders. The variables included in the multivariable logistic regression model were selected based on the statistically significant results (p < 0.1) of univariate logistic regression model including only one potential predictor. Kaplan-Meier survival curves were used to determine joint preservation rate. A Cox regression analysis was run to determine factors associated with failure. The level of significance was set at p < 0.05. The variables included in the analysis were selected based on the statistically significant results of the univariate analysis. All analysis was performed using SPSS for Mac 9 v. 27 (IBM, USA).