before and after the interpolation in a real dataset with the missing data in irregular time-series. Findings The algorithmic … model of the time-decayed long short-term memory (TD-LSTM) proposed in this study can monitor the missing data in irregular … time-series by capturing more and better time-series information, and interpolating the missing data efficiently. Moreover …

requiring complete item responses to questionnaires. Therefore, missing data are very common in cost-effectiveness analyses … the missing data pattern and compare the differences in the cost-effectiveness results between the two imputation … approaches. A simulation study with different missing data scenarios generated based on a complete data set was used to assess …