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Bayesian mixed models for longitudinal genetic data: theory, concepts, and simulation studies |
Wonil Chung, Youngkwang Cho |
Genomics Inform. 2022;20(1):e8 Published online March 31, 2022 DOI: https://doi.org/10.5808/gi.21080 |
Bayesian mixed models for longitudinal genetic data: theory, concepts, and simulation studies Bayesian mixed-effects location and scale models for multivariate longitudinal outcomes: an application to ecological momentary assessment data Bayesian Inference in Semiparametric Mixed Models for Longitudinal Data Bayesian inferences for beta semiparametric-mixed models to analyze longitudinal neuroimaging data Simulation of Longitudinal Exposure Data with Variance-Covariance Structures Based on Mixed Models Bayesian quantile regression-based nonlinear mixed-effects joint models for time-to-event and longitudinal data with multiple features Bayesian bent-cable growth mixture tobit models for longitudinal data with skewness and detection limit: application to AIDS studies Mixed Hidden Markov Models for Longitudinal Data: An Overview Case Studies Bayesian Latent-Class Mixed-Effect Hybrid Models for Dyadic Longitudinal Data with Non-Ignorable Dropouts |