Additional descriptive calculation of responder rates indicated in Perilla group higher responder rates in comparison to placebo (Perilla: bloating 83%, passage of gas 67%, GI rumbling 71%, feeling of fullness 67%, abdominal discomfort 71% // Placebo: bloating 57%, passage of gas 52%, GI rumbling 57%, feeling of fullness 52%, abdominal discomfort 48%).
Basic descriptive statistical calculations were performed in MATLAB R2015b (The MathWorks) and Excel 2013 (Microsoft).
Descriptive analysis (calculations of averages, frequencies, proportions, or rates) was conducted.
Standard descriptive statistical calculations were performed, such as arithmetical mean, minimum and maximum.
Descriptive statistic calculations of the independent variables (sample sizes and demographic characteristics expressed through mean values and standard deviations (SD)) were conducted for the groups of privately and publicly owned PCCs respectively including the changes over time.
In the Results section, show a table and graph of descriptive statistics calculations.
Statistical methods included descriptive summaries, calculation of incidence ratios and confidence intervals, Kaplan-Meier estimation for the probability of surviving an adverse event, multivariable proportional-hazard hypothesis testing, and multivariable Cox model fitting in order to identify factors associated to an increased/reduced hazard of an adverse event happening.
Estimates were made using the "svy" (survey commands) functions of the STATA program, which enabled us to incorporate the sampling design and weights into all of our statistical calculations (descriptive OR, logistic regression).
Descriptive analyses involved calculations of frequency distributions, means/medians, and tabular statistics.
Descriptive statistics (means calculations, standard deviations and observed ranges) were used on continuous parameters.
