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- W1978946952 abstract "Longitudinal studies suffer from patient dropout. The dropout process may be informative if there exists an association between dropout patterns and the rate of change in the response over time. Multiple patterns are plausible in that different causes of dropout might contribute to different patterns. These multiple patterns can be dichotomized into two groups: quantitative and qualitative interaction. Quantitative interaction indicates that each of the multiple sources is biasing the estimate of the rate of change in the same direction, although with differing magnitudes. Alternatively, qualitative interaction results in the multiple sources biasing the estimate of the rate of change in opposing directions. Qualitative interaction is of special concern, since it is less likely to be detected by conventional methods and can lead to highly misleading slope estimates. We explore a test for qualitative interaction based on simultaneous confidence intervals. The test accommodates the realistic situation where..." @default.
- W1978946952 created "2016-06-24" @default.
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- W1978946952 date "2011-06-01" @default.
- W1978946952 modified "2023-09-23" @default.
- W1978946952 title "Testing for qualitative interaction of multiple sources of informative dropout in longitudinal data" @default.
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- W1978946952 doi "https://doi.org/10.1080/02664763.2010.491969" @default.
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