Statistical evaluations were performed as per protocol analysis, i.e., with patients who met all the study protocol criteria. Excel 2010 software was used to establish and manage the database, and the Statistical Package for Social Sciences 17.0 for Windows (SPSS) was used for statistical analysis. Continuous variables were verified for normality by the Kolmogorov-Smirnov test. Values were described as mean ± standard deviation (SD) or median (interquartile range) based on normal distribution test and percent for categorical variables. The independent sample t test and one-way analysis of variance (ANOVA) were used to compare female sexual function scores. Spearman’s correlation coefficients were obtained to find the association between total and domain scores and some biochemical and anthropometric variables. Multivariate linear regression analysis was used to estimate various risk factors for FSD and to control for confounding factors. Two-sided p values < 0.05 were considered to be significant.
17.0 for windows
Manufactured by IBM
Sourced in United States
17.0 for Windows is a software product developed by IBM that provides laboratory equipment management capabilities. The core function of this product is to assist users in organizing and managing data related to their laboratory equipment and operations. This includes features for inventory tracking, maintenance scheduling, and data analysis. The product is designed to run on Windows operating systems.
Automatically generated - may contain errors
Lab products found in correlation
2 protocols using 17.0 for windows
1
Assessment of Female Sexual Function
2
Assessing ADHD Symptoms, Harm Avoidance, and Defense Styles
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The Statistical Package for the Social Sciences (Chicago, IL, USA) 17.0 for Windows was used for all the analyses. We used Student's t-test to compare the groups on continuous variables. Categorical variables were compared using the Chi-square statistics. Correlation analyses (Pearson, bivariate) between the ADHD scores, HA scores, and defense styles were performed. Taking the presence of probable ADHD as a dependent variable and HA and defense styles (mature, neurotic, and immature) as independent variables, hierarchical logistic multiple regression analysis was conducted. Taking the severity of ADHD symptoms as a dependent variable and HA and defense styles (mature, neurotic, and immature) as independent variables, hierarchical linear multiple regression analysis was conducted. Taking the severity of IN and HI symptoms as dependent variables and HA and defense styles (mature, neurotic, and immature) as covariates, multivariate analysis of covariance (MANCOVA) was conducted. For all statistical analyses, P values were 2-tailed and the differences were considered statistically significant at P < 0.05.
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