Erika L. Ball

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Samantha MaWhinney1
Diane Fairclough1
Jeri E Forster1
1Samantha MaWhinney
1Diane Fairclough
1Jeri E Forster
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Dropout is common in longitudinal clinical trials and when the probability of dropout depends on unobserved outcomes even after conditioning on available data, it is considered missing not at random and therefore nonignorable. To address this problem, mixture models can be used to account for the relationship between a longitudinal outcome and dropout. We(More)
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