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Finite mixtures of multivariate  linear mixed\u2010effects (FM\u2010MtLME) models have proven effective for modeling and clustering multiple longitudinal trajectories that exhibit grouped patterns with strong within\u2010group similarity. Motivated by an AIDS study with plasma viral loads measured under assay\u2010specific detection limits, this article extends the FM\u2010MtLME model to account for censored outcomes. The proposed model is called the FM\u2010MtLME with censoring (FM\u2010MtLMEC). To allow covariate\u2010dependent mixing proportions, we further extend it with a logistic link, resulting in the EFM\u2010MtLMEC model. Two efficient EM\u2010based algorithms are developed for parameter estimation of both FM\u2010MtLMEC and EFM\u2010MtLMEC models. The utility of our methods is demonstrated through comprehensive analyses of the AIDS data and simulation studies.<\/jats:p>","DOI":"10.1002\/sim.70392","type":"journal-article","created":{"date-parts":[[2026,1,22]],"date-time":"2026-01-22T16:48:06Z","timestamp":1769100486000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Finite Mixtures of Multivariate t Linear Mixed\u2010Effects Models for Censored Longitudinal Data With Concomitant Covariates"],"prefix":"10.1002","volume":"45","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-3992-1128","authenticated-orcid":false,"given":"Tsung\u2010I","family":"Lin","sequence":"first","affiliation":[{"name":"Institute of Statistics National Chung Hsing University  Taichung Taiwan"},{"name":"Department of Public Health China Medical University  Taichung Taiwan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0344-7954","authenticated-orcid":false,"given":"Wan\u2010Lun","family":"Wang","sequence":"additional","affiliation":[{"name":"Department of Statistics and Institute of Data Science National Cheng Kung University  Tainan Taiwan"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2026,1,22]]},"reference":[{"key":"e_1_2_11_2_1","doi-asserted-by":"publisher","DOI":"10.1093\/infdis\/175.2.247"},{"key":"e_1_2_11_3_1","doi-asserted-by":"publisher","DOI":"10.1097\/00126334-200411010-00004"},{"key":"e_1_2_11_4_1","doi-asserted-by":"publisher","DOI":"10.1002\/sim.4321"},{"key":"e_1_2_11_5_1","doi-asserted-by":"publisher","DOI":"10.1002\/sim.5799"},{"key":"e_1_2_11_6_1","first-page":"666","article-title":"Multivariate\u2010t Nonlinear Mixed Models With Application to Censored Multi\u2010Outcome AIDS Studies","volume":"18","author":"Lin T. 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