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  1. 1
    Evaluation of Single Missing Value Imputation Techniques for Incomplete Air Particulates Matter (PM10) Data in Malaysia
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    Article
  2. 2
    Comparison of Single and MICE Imputation Methods for Missing Values: A Simulation Study
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    Article
  3. 3
    MCMCINLA Estimation of Missing Data and Its Application to Public Health Development in China in the Post-Epidemic Era
    by Ding, S., Hu, X., Shi, X., Teng, J., Zhang, H.
    Published 2022
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    Article
  4. 4
    Solutions for latent growth modeling following COVID-19-related discontinuities in change and disruptions in longitudinal data collection
    by Little, T.D, Rioux, C., Stickley, Z.L
    Published 2021
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    Article
  5. 5
    Evaluation of different approaches for missing data imputation on features associated to genomic data
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    Article
  6. 6
    Identifying treatment effects using trimmed means when data are missing not at random
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    Article
  7. 7
    A Robust Deep Learning-Based Damage Identification Approach for SHM Considering Missing Data
    by Deng, F., Tao, X., Wei, P., Wei, S.
    Published 2023
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    Article
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