A Bayesian natural cubic B-spline varying coefficient method for non-ignorable dropout

A Bayesian natural cubic B-spline varying coefficient method for non-ignorable dropout

Abstract Background Dropout is a common problem in longitudinal clinical trials and cohort studies, and is of particular concern when dropout occurs for reasons that may be related to the outcome of interest. This paper reviews common parametric models to account for dropout and introduces a Bayesia...

Full description

Bibliographic Details
Main Authors: Camille M. Moore, Samantha MaWhinney, Nichole E. Carlson, Sarah Kreidler
Format: Article
Language:English
Published: BMC 2020-10-01
Series:BMC Medical Research Methodology
Subjects:
Reversible jump Markov chain Monte Carlo
Missing data
Dropout
Varying coefficient model
HIV
Online Access:http://link.springer.com/article/10.1186/s12874-020-01135-3

Internet

http://link.springer.com/article/10.1186/s12874-020-01135-3

Similar Items