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Knot selection strategies for semiparametric varying coefficient models applied to longitudinal cohorts with multiple dropout reasons

Published in Open MIND • Jan 1, 2013
NobleIDNI4P23W87R24S98
Authors:
Camille M. Moore

Abstract

Dropout is a common source of missing data in longitudinal studies, and often occurs for reasons that may be related to an outcome of interest. When dropout depends on unobserved outcomes, even after conditioning on observable data, data are potentially missing not at random and dropout is therefore...

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