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Preventing and Treating Missing Data in Longitudinal Clinical Trials by Craig Mallinckrodt

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10 MNAR Analyses

10.1 Introduction

Although the assumption of MAR is often reasonable in clinical trials, the possibility of MNAR data is impossible to rule out (Verbeke and Molenberghs, 2000). Therefore, analyses valid under MNAR are needed. Analyses in the MNAR framework try in some manner to model or otherwise take into account the missingness process. However, moving beyond MAR to MNAR poses fundamental problems.

In MAR it is assumed that the statistical behavior of the unobserved data is the same as if it had been observed, such that the unobserved data can be predicted from the observed data. As was noted in Section 8.6, the fundamental difficulty with any MNAR method is that the characteristics and statistical behavior of the missing data ...

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