3 citations · 5 across the 3 of their papers we have counts for
Showing stat.APShow all
2 papers · 1 filter
stat.AP2024★ 1 cited
Evaluation of Missing Data Analytical Techniques in Longitudinal Research: Traditional and Machine Learning Approaches
Dandan Tang, Xin Tong
Missing Not at Random (MNAR) and nonnormal data are challenging to handle. Traditional missing data analytical techniques such as full information maximum likelihood estimation (FI…
stat.AP2023★ 3 cited
A Comparison of Full Information Maximum Likelihood and Machine Learning Missing Data Analytical Methods in Growth Curve Modeling
Dandan Tang, Xin Tong
Missing data are inevitable in longitudinal studies. Traditional methods, such as the full information maximum likelihood (FIML), are commonly used to handle ignorable missing data…