025. Handling Missing Data in Longitudinal Models

แชร์
ฝัง
  • เผยแพร่เมื่อ 11 ก.ย. 2024

ความคิดเห็น • 4

  • @ayu3089
    @ayu3089 2 ปีที่แล้ว +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 ปีที่แล้ว

    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 ปีที่แล้ว

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

  • @junaidkp1941
    @junaidkp1941 2 ปีที่แล้ว

    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.