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- W1963733765 abstract "Pattern-mixture models provide a general and flexible framework for sensitivity analyses of nonignorable missing data in longitudinal studies. The placebo-based pattern-mixture model handles missing data in a transparent and clinically interpretable manner. We extend this model to include a sensitivity parameter that characterizes the gradual departure of the missing data mechanism from being missing at random toward being missing not at random under the standard placebo-based pattern-mixture model. We derive the treatment effect implied by the extended model. We propose to utilize the primary analysis based on a mixed-effects model for repeated measures to draw inference about the treatment effect under the extended placebo-based pattern-mixture model. We use simulation studies to confirm the validity of the proposed method. We apply the proposed method to a clinical study of major depressive disorders." @default.
- W1963733765 created "2016-06-24" @default.
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- W1963733765 date "2013-12-17" @default.
- W1963733765 modified "2023-10-05" @default.
- W1963733765 title "An extension of the placebo-based pattern-mixture model" @default.
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- W1963733765 doi "https://doi.org/10.1002/pst.1605" @default.
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