Data are expressed as median and interquartile range (IQR) or mean ± standard deviation. Continuous data were compared using the Student t test or Mann-Whitney test, if the distribution was variable. Categorical data were described using contingency tables and a chi-square test or Fisher exact test. A univariate analysis was performed using a logistic regression to determine the independent risk factors associated with a poor response to steroid treatment. Subsequently, multiple logistic regression analysis was performed for variables with a P value <.2 in the univariate analysis, based on the backward Wald selection method. The results are reported as an odds ratio (OR) with 95% confidence interval (CI). A P value <.05 was considered significant. Calculations were performed using the SPSS for Windows software package, version 21.0 (IBM Co., Armonk, NY, USA).
Spss for windows software package version 21
Manufactured by IBM
Sourced in United States
SPSS for Windows software package, version 21.0, is a data analysis and statistical software application developed by IBM. It provides a comprehensive set of tools for data management, analysis, and reporting. The software is designed to work on the Windows operating system.
Automatically generated - may contain errors
Lab products found in correlation
2 protocols using spss for windows software package version 21
1
Steroid Response Predictors in Patients
2
Gastrointestinal CMV Disease Relapse Risk Factors
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Data are expressed as the medians and inter quartile ranges (IQR) or means ± standard deviations. Continuous data were compared using Student t test or Mann–Whitney U test if the distribution was variable. Categorical data were described using contingency tables and a chi-squared test or Fisher exact test. A univariate analysis was performed using logistic regression to determine the risk factors independently associated with a relapse of gastrointestinal CMV disease. Subsequently, multiple logistic regression analysis was performed for variables with a P-value <.2 in the univariate analysis, based on the backward Elimination (Wald) method. The results are reported as odds ratios (ORs) with a 95% confidence interval (CI). A P-value <.05 was considered significant. The calculations were performed using SPSS for Windows software package version 21.0 (IBM Co., Armonk, NY).
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