Spss 17.0 statistical analysis

SPSS 17.0 statistical analysis software was used for the statistical methods. The results of counting were expressed as mean ± standard deviation ( $\overline{x}$  ± s), and t-test was applied for comparison between the two groups. The receiver operating characteristic curve (ROC) was employed to evaluate the value of paired base substances in the diagnosis of malignant effusion, and AUC was applied to determine the accuracy of base substance concentration in the diagnosis of malignant effusion. What is more, the threshold value, sensitivity, and specificity for the diagnosis of malignant effusion were calculated, and P < 0.05 was considered to represent statistically significant difference.

SPSS 17.0 statistical analysis software was used for data processing. All measurement data were expressed as mean ± standard deviation (x±SD). An ANOVA test was used to compare measurement data between groups. A paired t-test was used to compare measurement data before and after the intervention. A chi-square test was used to compare count data (and classification data). P < 0.05 indicated that the difference was statistically significant.

Statistical analyses were conducted using the SPSS 17.0 statistical analysis software package (SPSS Inc., Chicago, IL, United States). Median, standard deviation (SD), range and frequencies (%) were used to describe patients’ characteristics. The frequency of TDRMs was also calculated, and the chi-square or Fisher exact test was employed when appropriate. A p value of < 0.05 was defined as statistically significant.

The survival time of those patients diagnosed with AIDS was estimated by the number of years from their first visit to the midpoint between the last visit with AIDS-free and the first visit with AIDS. Individuals who remained AIDS-free were monitored until their last follow-up visit. All statistical analyses for this report were conducted using SPSS 17.0 statistical analysis software package (SPSS, Chicago, IL, USA). Data from Group One were analyzed using an abridged life table method, which described the incidence of AIDS from 2008 to 2012; and estimate the effect of HAART treatment on patient outcomes. For Group Two, Cox proportional hazards models were fitted to examine the effects of region, gender, age, education, marriage, occupation, CD4+ T-cell count and HAART treatment on the time to between HIV diagnosis and AIDS diagnosis. Results with p values of less than 0.05 were considered statistically significant. We excluded patients with missing data from the analysis.

The CPMAS¹³C-NMR spectra were analyzed by MestRe Nova (version 6.0.3, Mestrelabs Research, SL, Santiago de Compostela, Spain). After the source data were extracted and analyzed, Microsoft Office Excel 2010 and Origin 8.0 software were used for data processing and plotting, the data in “Available Data” were plotted by fitted curve stacking method in Origin, and SPSS 17.0 statistical analysis software was used to determine whether there were significant differences between groups (Duncan method) and to conduct correlation analyses.