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
Mixed vine copula flows for flexible modeling of neural dependencies
Sign Up to like & getrecommendations! Published in 2022 at "Frontiers in Neuroscience"
DOI: 10.3389/fnins.2022.910122
Abstract: Recordings of complex neural population responses provide a unique opportunity for advancing our understanding of neural information processing at multiple scales and improving performance of brain computer interfaces. However, most existing analytical techniques fall short… read more here.
Keywords: mixed vine; copula; flexible modeling; flows flexible ... See more keywords