Methods in analysis to handle protocol non-adherence and any statistical methods to handle missing data
SECONDARY
In the ITT analysis, we will measure our primary and key secondary outcomes by patient report in the last assessment. For the PP analysis, the proposed linear mixed model allows missing values at certain time points. The missing value assumption of the model is Missing At Random which means that missing values can only be dependent on the observed responses which seems a reasonable assumption in this case. Missing data should be kept at minimum by applying the following rules: We will check completion of questionnaires at the end of the testing session and ask the participant to try to complete missing information.