Accounting for dropout reason in longitudinal studies with nonignorable dropout

  • Camille M. Moore (Creator)
  • Samantha MaWhinney (Creator)
  • Jeri E. Forster (Creator)
  • Nichole E. Carlson (Creator)
  • Amanda Allshouse (Creator)
  • Xinshuo Wang (Creator)
  • Jean Pierre Routy (Creator)
  • Brian Conway (Creator)
  • Elizabeth Connick (Creator)

Dataset

Description

Dropout is a common problem in longitudinal cohort studies and clinical trials, often raising concerns of nonignorable dropout. Selection, frailty, and mixture models have been proposed to account for potentially nonignorable missingness by relating the...
Date made available2023
PublisherSAGE Journals

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