Pasw statistics version 20
PASW Statistics version 20.0 is a software application designed for statistical analysis. It provides a comprehensive set of tools for data management, analysis, and reporting. The core function of PASW Statistics is to enable users to perform a wide range of statistical procedures, from basic descriptive statistics to advanced modeling and forecasting.
Lab products found in correlation
30 protocols using pasw statistics version 20
Evaluating Glycemic Response of Gummy Candies
Comparative Analysis of Subject Groups
Statistical Analysis of Experimental Data
Statistical Analysis of Cost Distributions
Determinants of Cord Ferritin Levels
Determinants of cord ferritin levels including gestational age, birth weight, maternal BMI at delivery and paternal smoking status were explored in unadjusted models. The residuals of the multiple linear regression model were slightly deviated from normal distribution; therefore a square-root transformation of cord ferritin levels, birth weight, length, and gestational age was used, the residuals were approximately normally distributed when the regression model was repeated. All tests were two-sided at the 5% statistical significance level, P<0.05 being considered statistically significant.
Predictors of C/T Therapy Failure
Continuous variables were compared using the Student t test and Mann-Whitney U test for normally and non–normally distributed variables, respectively. The χ 2 test or Fisher exact test was used to compare categorical variables. All pretreatment variables identified during univariate analysis were tested using logistic regression analysis to identify risk factors associated with clinical failure. In a multivariate analysis, the model was tested using a backward stepwise selection and P < .05 for all variables in order to determine the effects of all anamnestic, clinical, and therapeutic variables on clinical success or failure of C/T therapy. Empiric and definitive therapy were adjusted for confounders (definitive and empiric regimens, respectively). All tests of statistical significance were 2-tailed. Differences were considered statistically significant at a P value of <.05. Statistical analysis was performed with the software package PASW Statistics, version 20.0 (SPSS Inc., Chicago, IL, USA).
Exercise Intensity and Metabolic Responses
Gross Energy Expenditure During Body Weight Resistance Exercises
Analyzing Energy Expenditure and STS
Exploring Exercise-Induced Physiological Responses
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