Data analysis was performed using SPSS version 27 and STATA version 17. Categorical variables were analyzed using the χ2 statistic, while continuous variables were analyzed using the Mann-Whitney test and analysis of variance (ANOVA). For binary variable comparison, both univariate and multivariate Logistic Regression were employed. To compare the cumulative incidence of GVHD, relapse, and NRM, competing risk regression models were utilized. Competing events for GVHD included death or relapse, for NRM it was relapse, and for relapse it was NRM. The Kaplan-Meier method was used to plot OS and DFS curves, and intergroup survival comparison was evaluated using the log-rank test. Cox regression analysis was applied to adjust for any potential biases in survival analysis. Statistical significance was defined as a p-value less than 0.05.
Spss version 27
Manufactured by StataCorp
Sourced in United States
SPSS version 27 is a statistical software package developed by IBM. It provides data management, analysis, and visualization capabilities. The core function of SPSS is to assist users in analyzing and interpreting data through a variety of statistical techniques.
Automatically generated - may contain errors
7 protocols using spss version 27
1
Comparative Analysis of Hematological Outcomes
2
Factors Associated with PIM/Antipsychotic Use in Nursing Homes
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Descriptive results are presented as absolute frequencies and percentages or as mean ± standard deviation (SD). To evaluate the association of different factors with the proportion of NHR receiving a PIM/antipsychotic at baseline, a mixed model logistic regression was applied. In the logistic regression model data from n = 786 of the n = 787 NHR in the baseline examination (99.8%) were included. Accounting for the cluster effect of the NH, their identification code was included as a random effect in the model. The fixed factors in the model were: additional qualifications in nurses (gerontopsychiatry, pain nurse, palliative care, wound expert, Zertifiziertes Curriculum (Zercur) Geriatrie and others), the presence of a concept for dealing with challenging behavior in NHR (yes/no), the presence of a concept for avoiding measures that deprive patients of their freedom (yes/no), number of drugs and number of comorbidities. Age, gender, and dementia status of the NHR were included as adjusting factors. All analyses were performed with SPSS® Version 27 and StataSE Version 16.
3
Analyzing Factors Affecting Outcome
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Data were exported from SPSS version 27 and analysed using the STATA version 15.0 (Stata Corp. College Station, Texas, United States [US]). Data were checked for possible errors and any missing values before analysis. Descriptive and inferential statistics were used for analysis. Categorical variables were summarised using frequencies and proportions, whilst continuous variables were presented using mean and standard deviation. To identify factors associated with the outcome of interest, a bivariate logistic regression analysis was performed for each independent variable and crude odds ratio with 95% confidence intervals was obtained. The strength of statistical association was measured by adjusted odds ratio and 95% confidence intervals.
4
Diagnostic Accuracy of MRI for MCL Injury
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Sensitivity, specificity, and positive and negative predictive values were calculated for MRI as a test for grade II or III MCL injury. As there is little difference in the management of the MCL without injury and with grade I injury, these grades were combined for a separate analysis resulting in three categories for both clinical and MRI gradings (Table 1) and agreement calculated using a weighted kappa with linear weights. Statistical analyses were carried out in SPSS (version 27) and STATA (version 16).
5
BREAST-Q Scores and Stress Levels
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The BREAST-Q scores were assessed and rescaled according to the instructions of the original authors of the BREAST-Q (2.0). The Spearman's rank correlation analysis was performed to determine the possible association between stress levels and HRQL. Unless stated otherwise, the results are presented as the median and interquartile range (IQR, 25th and 75th percentiles). Group wise comparison was conducted using the Mann-Whitney U test for linear variables and the Chi-square test for binominal variables. Regression analysis was performed, correcting for age and indication for surgery. Correlations between the Holmes-Rahe stress scale and HRQL were analyzed using the Spearman's rank correlation. Fisher-Freeman-Halton test with post hoc Fisher Exact was used for groupwise comparison of patient and disease characteristics. Linear regression models adjusting for age, complications, reoperations, radiation, and whether the reconstruction process was complete or not were used to determine a possible correlation between these factors and the BREAST-Q and SF-36 scores. All statistical tests were two-tailed. P-values <0.05 were considered statistically significant. Statistical analysis was conducted by using IBM SPSS version 27 and STATA version 17 statistical software.
6
Knowledge, Attitude, and Practice regarding Black Fungus
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Data were analyzed using the Statistical Package for the Social Sciences (SPSS) version 27 and STATA (version 14.2) computer software. A Chi-squared test was carried out to investigate the association between sociodemographic characteristics and knowledge, attitude, practice, and total KAP scores regarding Black Fungus. Shapiro–Wilk and Kolmogorov–Smirnov tests were conducted to determine the normality of numeric data about the total knowledge, attitude, practice, and total KAP scores. As the data were not normally distributed, therefore, non-parametric tests, such as the Kruskal–Wallis statistic test or Mann–Whitney U tests, were conducted to analyze the association between sociodemographic characteristics and knowledge, attitude, practice, and total KAP scores. A post hoc analysis was also executed through Bonferroni and Scheffé corrections for adjusting the significance value. In addition, descriptive statistics (frequency, percentage, median, and interquartile range) were also estimated. Finally, we utilized the generalized, ordered logistic regression model for predicting the knowledge, attitude, and practice level of students in Bangladesh [49 (link)]. For all statistical analyses, the α level (significance) was 0.05.
7
Attitudes toward COVID-19 Vaccine Across Cultures
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The data were analysed with SPSS version 27 and Stata version 17. The analysis techniques were ANCOVA (attitude to COVID-19 vaccine score as the dependent variable; sample x gender with age as a covariate) with Bonferroni correction for group differences (Polish in Norway, Polish in Poland, and Norwegians in Norway), Pearson correlation coefficients, hierarchical regression analysis, and path analysis for mediation.
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