Statistical analyses of data were performed with the SPSS 19.0 software program (Chicago, IL, United States). The significance of differences between groups was evaluated with the one-way analysis of variance (ANOVA) and Dunnett’s t-test, and p < 0.05 was considered significant.
Spss 19.0 software program
Manufactured by IBM
Sourced in United States
SPSS 19.0 is a statistical software program developed by IBM. It is designed to analyze and manipulate data, providing users with tools for data management, statistical analysis, and reporting. The software supports a wide range of data types and statistical techniques, making it a versatile tool for researchers, analysts, and decision-makers across various industries.
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Lab products found in correlation
3 protocols using spss 19.0 software program
1
Comparative Analysis of Experimental Data
2
Survival Analysis of Clinical Outcomes
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Survival analyses were performed by using the Kaplan-Meier method with the logrank test. All P values were 2-sided and P < .05 was considered as statistically significant. Multivariate analysis was carried out by using the Cox proportional hazards model, hazard ratios (HRs) and 95% confidence intervals (95% CIs). Multivariate Cox proportional analyses were performed in a step-forward logistic regression approach. All statistical analyses were performed by using SPSS 19.0 software program (SPSS Inc, Chicago, Illinois).
3
Antimicrobial Resistance Factors Analysis
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Univariate statistics were used to test the association of demographic and clinical characteristics with the presence of antimicrobial resistance.
Categorical variables were analyzed using the Chi-square test and the continuous variables were analyzed using Student t test. We defined statistical significance as a two-tailed p<0.05
We performed logistic regression analyses using 30-day and 90-day mortality as dependent variables and PA-S as independent variable. Variables with p<0.1 in the univariate analyses (prior use of systemic steroids and antibiotics) were included in the multivariate analyses as potential cofounders.
We also present a Kaplan-Meier curve representing the survival data. A secondary analysis was performed including only patients with PAR (MDR vs. not-MDR). All analyses were performed with SPSS 19.0 software program (SPSS Inc, Chicago, IL, USA).
Categorical variables were analyzed using the Chi-square test and the continuous variables were analyzed using Student t test. We defined statistical significance as a two-tailed p<0.05
We performed logistic regression analyses using 30-day and 90-day mortality as dependent variables and PA-S as independent variable. Variables with p<0.1 in the univariate analyses (prior use of systemic steroids and antibiotics) were included in the multivariate analyses as potential cofounders.
We also present a Kaplan-Meier curve representing the survival data. A secondary analysis was performed including only patients with PAR (MDR vs. not-MDR). All analyses were performed with SPSS 19.0 software program (SPSS Inc, Chicago, IL, USA).
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