Statistical analysis
ADVERSE EFFECTS
A priori sample size was calculated using G*Power 3.1.9.2 using the trichoscopic evaluation parameters as the primary outcome measure. A total sample size of (28) participants would be required to detect a statistically significant change using both mixed repeated measures ANOVA (RM-ANOVA) and one-way RM-ANOVA tests predicting a medium effect size of 0.25, 2 sided alpha error = 0.05, power = 80% (Statistical Package for Social Science (SPSS) version 23 (SPSS Inc., Chicago, IL, USA) was used. Qualitative data were presented as numbers and percentages, whereas quantitative data were presented as mean and standard deviation. Student’s One-way RM-ANOVA was applied to test the effect of time on numerical variables within each group individually. The mixed model of RM-ANOVA was applied to account for the time and group effect and their interaction. That was followed by pairwise comparisons with Bonferroni adjustments.The patients’ responses to the self-assessment questionnaire and the results of the outcome assessor and the dermatologists’ panel evaluation were compared between the 2 groups at 6- and 12-week intervals, respectively, using Mann–Whitney Also, the percent of subjects that reported adverse effects was compared between groups using Fisher’s exact test. All tests were two-tailed at 