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...
Moore, C. M., MaWhinney, S., Forster, J. E., Carlson, N. E., Allshouse, A., Wang, X., Routy, J. P., Conway, B. & Connick, E., Aug 1 2017, In: Statistical Methods in Medical Research.26, 4, p. 1854-186613 p.
Research output: Contribution to journal › Article › peer-review
Moore, C. M. (Creator), MaWhinney, S. (Creator), Forster, J. E. (Creator), Carlson, N. E. (Creator), Allshouse, A. (Creator), Wang, X. (Creator), Routy, J. (Creator), Conway, B. (Creator), Connick, E. (Creator) (2023). Accounting for dropout reason in longitudinal studies with nonignorable dropout. SAGE Journals. 10.25384/sage.c.6649619.v1