Statistical analysis was performed using the PASW version 17.0 software (SPSS™ Inc., Chicago, IL, USA). Descriptive statistics were expressed in mean±standard deviation, and frequency (%). A p value less than 0.05 was considered statistically significant.
Pasw version 17
Manufactured by IBM
Sourced in United States
PASW, version 17.0 is a statistical software package developed by IBM. It is designed for data analysis and manipulation. The software provides a range of statistical and analytical tools to assist users in processing and interpreting data.
Automatically generated - may contain errors
Lab products found in correlation
14 protocols using pasw version 17
1
Statistical Analysis of Research Data
2
Cardiac Autonomic Dysfunction in Parkinson's Disease
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All measures are presented as the mean and standard error (SE) of the mean. Differences in clinical features and heart rate variables between the matched PD and control groups were analyzed by the paired t-test. Pearson correlation coefficient (r) was used to measure correlations of patient age, PD duration, and disease severity (represented by UPDRS score in levodopa-off period, UPDRS-off) with heart rate variables including LF, HF, and LF%. Stepwise regression analysis was conducted to identify those factors associated with heart rate variables. All analyses were performed using SPSS (now called PASW) version 17.0 (SPSS Inc., Chicago, IL, USA) and statistical assessments were evaluated at the 0.05 level of significance.
3
Evaluating Clinical Response and Pain Scores
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The proportion of patients with clinical response in both arms was analyzed using Fisher’s exact test. Pain intensity using NRS and hip disability score using HOOS were evaluated using the Mann-Whitney U-test by statistic software (PASW, version 17.0; SPSS, Chicago, IL, USA). For evaluation of sub-group according to presence of cross-over injection, mixed-effects ML regression was used using the statistical package software Stata 12 (Stata Corp, College station, TX, USA). A P value of less than 0.05 was considered a significant difference.
4
Analyzing Socio-Demographic and dMRI Data
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We used the Statistical Package for Social Sciences (PASW, version 17.0; SPSS Inc., Chicago, IL, USA) for data analysis to calculate group differences for socio-demographic data and for dMRI measures of the AC. We used Effect Size Calculator (http://www.uccs.edu/∼faculty/lbecker/ ) to estimate the effect size. Effect size was determined based on the t and df from independent t-test.
5
Systemic Reactions after Epidural Steroid Injections
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The occurrence of systemic reactions after an ESI was investigated by the chi-square test or Fisher's exact test according to the patients' demographics (i.e., history of hypertension or diabetes mellitus, anticoagulant medication, age, and sex), and factors associated with ESIs (i.e., injection number, injection site, method, dose and type of steroid, and injection practitioner). Binary logistic regression analysis was used to estimate the risk of systemic reactions based on patients' baseline demographics, defined as exp(B) (odds ratio, OR). Sub-group analyses were also conducted for the patients with diabetes mellitus, hypertension, and reccurring ESI. A p value of less than 0.05 was considered significant. All statistical analyses were performed using a statistical software (PASW, version 17.0; SPSS Inc., Chicago, IL, USA).
6
Ductus Diverticulum Frequency and Size
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Descriptive statistics are reported as proportions or means ± standard deviations (SDs). Patients allocated to age groups (pediatric and adult) in the analysis of ductus diverticulum frequency and size. Pearson’s chi-squared test or Fisher’s exact test for categorical variables was used to compare subjects with or without ductus diverticulum. Continuous variables were compared using the Student’s t-test. Statistical significance was calculated at the 95% confidence level (P < 0.05). Commercially available software was used for data processing and analysis (PASW, version 17.0; SPSS, Chicago, IL, USA).
7
Analyzing Socio-Demographic and dMRI Data
8
Statistical Analysis of Research Data
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Statistical analysis was performed using the PASW version 17.0 software (SPSS Inc., Chicago, Illinois, United States of America). Descriptive statistics were expressed as mean ± standard deviation and frequency. A P-value < 0.05 was considered statistically significant.
9
Spearman's Correlation Analysis of Data
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Statistical analysis of the data was performed using PASW version 17.0 (SPSS Inc., Chicago, IL, USA). Spearman's correlation analysis was used for correlation between parameters. Data were analyzed within 95% confidence interval and p<0.05 value was considered as the significance level in evaluation of the results.
10
Evaluating Orthodontic Arch Wire Properties
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Statistical tests were done using PASW® version 17 (SPSS Inc., Chicago, IL, USA). A one-sample Kolmogorov–Smirnov (K–S) test was used to evaluate the normal distribution of the data. A two-way analysis of variance (ANOVA) was used to identify significant differences between the three types of arch wires immersed in four respective type of solutions and the effects of interaction among the variables. Mean values of the modulus of elasticity and the loading and unloading forces in each group were calculated. A Bonferroni paired comparison was used to compare the effect of different mouthwashes on wire types. P < 0.05 was defined to be statistically significant for all the tests.
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