Mixture of multivariate t nonlinear mixed models for multiple longitudinal data with heterogeneity and missing values
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DOI: 10.1007/s11749-018-0612-4
Abstract: The multivariate t nonlinear mixed-effects model (MtNLMM) has been shown to be effective for analyzing multi-outcome longitudinal data following nonlinear growth patterns with fat-tailed noises or potential outliers. This paper considers the problem of clustering… read more here.
Keywords: longitudinal data; missing values; mixture multivariate; multivariate nonlinear ... See more keywords
Flexible multivariate nonlinear models for bioequivalence problems
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DOI: 10.1177/1471082x17706018
Abstract: Modelling the concentration of a drug in the bloodstream over time is usually done using compartment models. In pharmacokinetic data, they turn into highly nonlinear mixed-effects models (NLMEMs) when we take the heterogeneity between subjects… read more here.
Keywords: bioequivalence; models bioequivalence; nonlinear models; bioequivalence problems ... See more keywords
A new test of multivariate nonlinear causality
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DOI: 10.1371/journal.pone.0185155
Abstract: The multivariate nonlinear Granger causality developed by Bai et al. (2010) (Mathematics and Computers in simulation. 2010; 81: 5-17) plays an important role in detecting the dynamic interrelationships between two groups of variables. Following the… read more here.
Keywords: multivariate nonlinear; hiemstra jones; causality; test ... See more keywords