Statistical Package for Social Science (SPSS) Software program version 23 was used to manage and analyze the data. Data cleaning and verification was done prior to conduct the analysis. Continuous variables were displayed as mean and standard deviation (SD). Nominal variables were shown as a number and percentage and were analyzed using contingency tables and χ test. Bivariate associations between continuous variables were investigated with point-biserial correlation. Binary logistic regression analysis was used to examine the independent association between the explored variables and the presence of delirium. All the independent variables that were correlated with delirium in the bivariate level were entered into the initial regression model. For all tests, statistical significance was set at an alpha level of p = 0.05.
Spss software program version 23
Manufactured by IBM
Sourced in United States
SPSS is a software program developed by IBM for data analysis and statistical computing. Version 23 of the software provides tools for data manipulation, visualization, and advanced statistical analysis. The core function of SPSS is to enable users to manage and analyze data effectively.
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Lab products found in correlation
4 protocols using spss software program version 23
1
Delirium Risk Factors Evaluation
2
Predictors of Mortality in STEMI-PCI Patients
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Continuous variables were expressed as means±standard deviations or median and interquartile range (IQR; 25-75%), while categorical covariates were expressed as numbers and percentages. Student's t-test was used for the analysis of continuous variables with a normal distribution, and the Mann-Whitney U test was used for the analysis of variables that were not normally distributed. Comparisons of categorical covariates were performed using the chi-square test. The event-free survival (Kaplan-Meier curves) was analyzed using the log-rank test.
The chi-square test was also used to assess the cause and distribution of death. A backward stepwise Cox regression analysis was performed to determine the independent predictors of all-cause mortality up to 2 years after STEMI-PCI, using the predictors associated with all-cause mortality (p<0.05) in a univariate analysis. Logarithmic transformation was performed for non-normally distributed variables for the Cox analysis. In the table, the variables were reverted from the logarithmic transformation.
The results were reported as adjusted hazard ratios (HRs) with associated 95% confidence intervals (CIs). The SPSS software program, version 23 (SPSS, Chicago, USA) was used for all statistical analyses. All p-values were two-tailed, and results with p<0.05 were considered to be statistically significant for all analyses.
The chi-square test was also used to assess the cause and distribution of death. A backward stepwise Cox regression analysis was performed to determine the independent predictors of all-cause mortality up to 2 years after STEMI-PCI, using the predictors associated with all-cause mortality (p<0.05) in a univariate analysis. Logarithmic transformation was performed for non-normally distributed variables for the Cox analysis. In the table, the variables were reverted from the logarithmic transformation.
The results were reported as adjusted hazard ratios (HRs) with associated 95% confidence intervals (CIs). The SPSS software program, version 23 (SPSS, Chicago, USA) was used for all statistical analyses. All p-values were two-tailed, and results with p<0.05 were considered to be statistically significant for all analyses.
3
Insecticide Toxicity Assessment
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The mortality rates in the treatments were corrected with that in the control according to Abbott’s formula [24 (link)]. The lethal concentrations (LC50) were estimated using Log-probit analysis of mortality versus concentration. Then, significant differences between the LC50 values were determined by estimating the confidence intervals of the relative median potency. Differences among LC50 values were judged as statistically significant when 1.0 was not found in the 95% confidence interval of relative median potency. All statistical analysis were conducted by SPSS software program, version 23 [25 ].
4
Analyzing Delirium Risk Factors
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Statistical Package for Social Science (SPSS) Software program version 23 was used to analyze all data. Univariate tests were used to screen potential predisposing and precipitating predictors of delirium. For categorical variables, χ2 tests were used. A point-biserial correlation was used to compare continuous variables. Binary logistic regression analysis was used to assess the independent effect of different factors on the development of delirium.
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