In this session, innovative alternative designs will be proposed that may be applicable to trials in certain disease areas to mitigate missing data problems. With regard to sophisticated analyses, such as multiple imputation and pattern mixture model, which require simulating data sets to impute missing values, an illustration will be given as to how to pre-specify the computer algorithms and capture simulated data values in ADaM to enhance the traceability and reproducibility.