A descriptive analysis of the variables of interest will be conducted.
Categorical variables will be presented through absolute and relative frequencies, and continuous variables through descriptive statistics such as mean and standard deviation, quartiles, median, and minimum and maximum values.
Sociodemographic data will be described using the above measures according to the characterisation of each variable.
Clinical history information for each patient will also be detailed. Univariate and multivariate regression analyses will be conducted to evaluate the relationship between risk factors and adverse events, depending on the sample size to confer statistical power to these tests.
To address the primary objective of the study, incidence rates of adverse events will be estimated overall, as well as by subgroups.
Sub-analyses stratified by clinical interest variables such as severity of events, dosage of Rinvoq™ (15mg, 30mg, 45mg), allergy history, among others, will be conducted.
Survival analysis will be performed to evaluate the time to occurrence of adverse events, allowing the identification of temporal patterns in adverse events, considering the possibility of data censoring (for example, when patients are no longer followed in the study due to dropout or other reasons).
Kaplan-Meier curves will be used to graphically illustrate the cumulative probability of non-occurrence of adverse events over time.
Additionally, statistical tests such as the log-rank test will be used to compare survival curves between different patient subgroups, identifying significant differences in adverse event incidence between these groups.
When appropriate, Cox proportional hazards modelling will be used to evaluate the impact of specific variables such as age, sex, comorbidities, and other relevant factors on the risk of adverse events.
Finally, subgroup and sensitivity analyses will also be considered.