A Dirichlet process mixture model for non-ignorable dropout

DOI10.1214/19-BA1181zbMath1480.62130MaRDI QIDQ2057350

Camille M. Moore, Sarah Kreidler, Samantha MaWhinney, Nichole E. Carlson

Publication date: 6 December 2021

Published in: Bayesian Analysis (Search for Journal in Brave)

Full work available at URL: https://projecteuclid.org/euclid.ba/1572401284

zbMATH Keywords

Dirichlet processmissing datamixture modelMCMCdropout

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Applications of statistics to biology and medical sciences; meta analysis (62P10) Missing data (62D10)

Uses Software

• R
• mvtnorm
• MASS (R)
• Mcmcpack
• gtools

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