Methods in analysis to handle protocol non-adherence and any statistical methods to handle missing data {20c}
Missing data will be assumed to be missing at random (MAR) for all variables. Indeed, this study is exploratory, and unavailable information cannot be interpreted/predicted at this stage. Therefore, multiple imputations with 15 imputations created by predictive models will be conducted, based on the majority of participants with complete data. After the imputations are completed, all of the data (complete and imputed) will be combined, and the analysis will be performed for each imputed-and-completed dataset. Information lacking due to withdrawal or discontinuation of the tasks will not be considered as “missing” and will not be taken into account for the calculation of the missing data.