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    Visual Analysis of Missing Values in Longitudinal Cohort Study Data 

    Alemzadeh, S.; Niemann, U.; Ittermann, T.; Völzke, H.; Schneider, D.; Spiliopoulou, M.; Bühler, K.; Preim, B. (© 2020 Eurographics ‐ The European Association for Computer Graphics and John Wiley & Sons Ltd, 2020)
    Attrition or dropout is the most severe missingness problem in longitudinal cohort study data where some participants do not show up for follow‐up examinations. Dropouts result in biased data and cause the reduction of ...

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    Author
    Alemzadeh, S. (1)
    Bühler, K. (1)
    Ittermann, T. (1)Niemann, U. (1)Preim, B. (1)Schneider, D. (1)Spiliopoulou, M. (1)Völzke, H. (1)Subjectinformation visualization (1)J.3 [Computer Applications]: Life and Medical Sciences— (1)visual analytics (1)... View MoreDate Issued2020 (1)Has File(s)true (1)

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