025. Handling Missing Data in Longitudinal Models

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  • Опубликовано: 21 авг 2024

Комментарии • 4

  • @ayu3089
    @ayu3089 2 года назад +1

    Hi~ your lecture is really helpful. And i want to ask how to test missing mechanism(MCAR , MAR or NAR) with longitudinal data?

  • @etiniakpayang55
    @etiniakpayang55 2 года назад

    Thank you for this lesson.
    Please point me in the direction for text that speaks about this kinda and type of missingness.
    Am trying to understand MAR and unbalanced and irregular data this grammer confused me.

  • @yaningfeng8838
    @yaningfeng8838 Год назад

    Can someone explain a little bit more about the difference between 'complete case analysis' and 'available data analysis'? Many thanks

  • @junaidkp1941
    @junaidkp1941 2 года назад

    thank you for this great lecture. really helpful to have a theoretical understanding of handling missing values. contents in the slides were a bit difficult to comprehend for me, nevertheless, it was good. If you can do an application of this lecture using software like (state, R or python) it would be helpful a lot.