missing not at random (mnar)

What are the limitations of handling MNAR?

While there are methods to handle MNAR, they come with limitations. These methods often require strong assumptions about the missingness mechanism, which can be difficult to justify or verify. Additionally, they can be computationally intensive and require specialized statistical software and expertise. Despite these challenges, it is crucial to attempt to account for MNAR to reduce bias in epidemiological studies.

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