Pasw statistic spss 18

Descriptive statistics, including frequency and percentage, were used for categorical variables. Continuous variables were reported as mean ± standard deviation for normally distributed variables and median (percentile 25 and percentile 75) for non-normally distributed variables. Normality of distribution of variables was examined by Kolmogorov-Smirnov test. Comparisons of categorical variables between patients with and without thrombus were performed using chi-square test or Fisher’s exact test. Continuous variables were compared using Student’s t-test or Mann-Whiney U test. Univariate and Multivariate analyses of thrombus predictions were evaluated using binary logistic regression analysis (Backward method) and presented as Odds ratio (OR) (95% confidence interval [CI]). Intra- and inter-observer reliability were analyzed by the intraclass correlation coefficient.
For all tests performed, a two-tailed p-value < 0.05 was statistically significant. PASW Statistic (SPSS) 18.0 (SPSS, Inc., Chicago, IL, USA) was used to perform all statistical analyses.

A statistical analysis was performed using PASW Statistic (SPSS) 18.0 (SPSS, Inc., Chicago, IL, USA). Subject characteristics were described using means, standard deviations, medians, frequencies, and percentages. The Student’s t-test and the Mann–Whitney U test were used for continuous variables, and the chi-squared test or Fisher’s exact test was used for discrete variables, as appropriate. p < 0.05 denoted statistical significance.

General demographics including sex, age, pre-op pain score, pre-op range of motion (ROM), and body mass index (BMI). The primary measuring tool for the outcome of the study evaluated by pain score, ROM, knee functional mobility using WOMAC, knee score, and functional score. The secondary measuring tool was patient’s satisfaction and duration for using gait aid. Continuous variables were expressed as mean ± standard deviation; median (minimum-maximum) is presented where appropriate. Categorical variables are presented as frequency and percentage. Difference of characteristics and all outcomes between two groups, the Student t test, or Mann-Whitney U test were used to compare continuous variables while the Chi-square test was compared for categorical variables. For all tests performed, a two-tailed p value < 0.05 was considered to be statistically significant. PASW Statistic (SPSS) 18.0 (SPSS, Inc., Chicago, IL, USA) was used to perform all statistical analyses.