Spss statistics 23

Data corresponding to the bacterial growth estimated as a function of SDZ concentration were normalized respect to the control (sample without antibiotic) for each soil, and plotted (as relative bacterial growth vs. log antibiotic concentration) using results obtained for each soil mixture and the antibiotic.
The statistical significance of differences between the control soil and soil samples spiked with the various SDZ concentrations was estimated using one-way ANOVA and Dunnet’s post hoc test (p < 0.05). The statistical analyses were performed using IBM SPSS statistics 23.0 and JMP Pro 13.0 for Mac (SAS Institute Inc., Cary, NC, USA).

Annual incidence and mortality rates of intact AAA repair, ruptured AAA repair, and rupture without repair were calculated and standardized by using 2013 public hospital AAA patient population as our standard population. Annual rates (1994–2013) were first calculated with gender and stratified by age groups (<65, 65–74, 75–79, ≥80 years). Subsequently, rates were standardized by gender and age. To assess the change of study outcomes by time, simple linear regression models used year as the independent variable and tested whether the slope of time trend was different from zero. The significance of the time effect is equivalent to that obtained in Pearson coefficient analysis. Log transformation was used for the rates showing nonlinear trend. Chi-square test was used to compare the death rate between EVAR and open repair, which was also adjusted for year of operation, using data from 1999 onwards (when EVAR was introduced). Results are reported as statistically significant at the P < .05 level. All statistical analyses were conducted using IBM SPSS Statistics software (SPSS Statistics 23.0, SPSS Science) and Statistical Analysis Software version 9.4 (SAS Institute Inc., Cary, NC). The study was approved by the Joint CUHK-NTEC Clinical Research Ethics Committee.