Spss for macos software

Statistical Analysis in Social Sciences (SPSS) for MacOS software was used to analyze the data (version 25, IBM Corp.). Data were collected from both eyes of those who received IPL and IPL + treatment at baseline (BL), first follow-up at day 14 (F1) and second follow-up at day 28 (F2). Repeated measures analysis allowed for comparisons across time periods, while paired analyses allowed for comparisons of pre- and post-treatment data at specific time periods (F1 and F2). The Kolmogorov-Smirnoff test was used to determine the normality of variables. Analysis of variance was used to analyze ordinal variables (e.g., TFLL) and those having non-normal distributions (ANOVA). The primary outcome measures for this study were NITBUT, LTMH, TFLL and OSDI scores before and after treatment. We performed a statistical power analysis for both the OSDI score and NITBUT at day 28 visit in the IPL and IPL + groups. The power (1 − β) was > 0.90 at the level of α = 0.025, and the sample size was sufficient. [38 , 39 ]

SPSS for MacOS software will be used to analyse the data (V.26, IBM). The significance of overall treatment, time and treatment-by-time interaction effects will be assessed using repeated measures two-way analysis of variance for continuous variables with normal distributions confirmed by Kolmogorov-Smirnov testing (p>0.05). A paired t-test will be used to make within-group comparisons. For the primary endpoint, between-group comparisons using baseline as a covariate and an analysis of covariance will be performed to estimate the adjusted mean, its 95% CI and the p value. Analysis of effectiveness parameters will be based on the change from baseline to 6 weeks for each group with a comparison of the change among groups.