Spss 19.0 statistical software for windows

Statistical analyses were performed using SPSS 19.0 statistical software for Windows (IBM, Armonk, NY) and Excel 2016 for Windows (Microsoft Corporation). Continuous variables are expressed as the mean ± standard deviation, and categorical variables are expressed as frequencies. Student's t‐test was performed if the data followed a normal distribution. Otherwise, the Mann–Whitney U test was performed for comparisons between continuous variables. Chi‐square tests were used to identify the differences between the categorical variables. A multivariate logistic regression model was built to identify the factors associated with the treatment effect of denosumab (only patients in the denosumab group were included in this regression analysis). For continuous variables, receiver operating characteristic curves were drawn, and the cut‐off points were selected by Youden's index. A stepwise regression method was used. Odds ratios (ORs) and 95% confidence intervals (95% CIs) were calculated for each independent factor. A p value <0.05 was considered to be statistically significant.

SPSS 19.0 statistical software for Windows (SPSS, Chicago, IL, USA) was used for statistical analysis. Receiver operating characteristic (ROC) curve analysis was performed, and area under curve (AUC) values were compared between groups; the Chi-squared test was used to determine statistical significance between groups (p < 0.05 was considered statistically significant).