Examining Nonnormal Latent Variable Distributions for Non-Ignorable Missing Data
Sign Up to like & getrecommendations! Published in 2021 at "Applied Psychological Measurement"
DOI: 10.1177/0146621621990753
Abstract: Missing not at random (MNAR) modeling for non-ignorable missing responses usually assumes that the latent variable distribution is a bivariate normal distribution. Such an assumption is rarely verified and often employed as a standard in… read more here.
Keywords: ignorable missing; nonnormal latent; distribution; non ignorable ... See more keywords
Flexible modeling of multiple nonlinear longitudinal trajectories with censored and non-ignorable missing outcomes
Sign Up to like & getrecommendations! Published in 2023 at "Statistical Methods in Medical Research"
DOI: 10.1177/09622802221146312
Abstract: Multivariate nonlinear mixed-effects models (MNLMMs) have become a promising tool for analyzing multi-outcome longitudinal data following nonlinear trajectory patterns. However, such a classical analysis can be challenging due to censorship induced by detection limits of… read more here.
Keywords: modeling multiple; multiple nonlinear; flexible modeling; non ignorable ... See more keywords