PublisherDOIYearVolumeIssuePageTitleAuthor(s)Link
Genomics & Informatics10.5808/gi.210802022201e8Bayesian mixed models for longitudinal genetic data: theory, concepts, and simulation studiesWonil Chung, Youngkwang Chohttp://genominfo.org/upload/pdf/gi-21080.pdf, http://genominfo.org/journal/view.php?doi=10.5808/gi.21080, http://genominfo.org/upload/pdf/gi-21080.pdf
Statistics in Medicine10.1002/sim.63452014344630-651Bayesian mixed-effects location and scale models for multivariate longitudinal outcomes: an application to ecological momentary assessment dataKush Kapur, Xue Li, Emily A. Blood, Donald Hedekerhttps://api.wiley.com/onlinelibrary/tdm/v1/articles/10.1002%2Fsim.6345, https://api.wiley.com/onlinelibrary/tdm/v1/articles/10.1002%2Fsim.6345, http://onlinelibrary.wiley.com/wol1/doi/10.1002/sim.6345/fullpdf
Biometrics10.1111/j.1541-0420.2009.01227.x200966170-78Bayesian Inference in Semiparametric Mixed Models for Longitudinal DataYisheng Li, Xihong Lin, Peter Müllerhttps://api.wiley.com/onlinelibrary/tdm/v1/articles/10.1111%2Fj.1541-0420.2009.01227.x, http://onlinelibrary.wiley.com/wol1/doi/10.1111/j.1541-0420.2009.01227.x/fullpdf
Biometrical Journal10.1002/bimj.2013000032014564662-677Bayesian inferences for beta semiparametric-mixed models to analyze longitudinal neuroimaging dataXiao-Feng Wang, Yingxing Lihttps://api.wiley.com/onlinelibrary/tdm/v1/articles/10.1002%2Fbimj.201300003, https://api.wiley.com/onlinelibrary/tdm/v1/articles/10.1002%2Fbimj.201300003, https://onlinelibrary.wiley.com/doi/full/10.1002/bimj.201300003
Risk Analysis10.1111/j.1539-6924.2012.01869.x2012333469-479Simulation of Longitudinal Exposure Data with Variance-Covariance Structures Based on Mixed ModelsPeng Song, Jianping Xue, Zhilin Lihttps://api.wiley.com/onlinelibrary/tdm/v1/articles/10.1111%2Fj.1539-6924.2012.01869.x, http://onlinelibrary.wiley.com/wol1/doi/10.1111/j.1539-6924.2012.01869.x/fullpdf
Statistics in Medicine10.1002/sim.7092201635305666-5685Bayesian quantile regression-based nonlinear mixed-effects joint models for time-to-event and longitudinal data with multiple featuresYangxin Huang, Jiaqing Chenhttps://api.wiley.com/onlinelibrary/tdm/v1/articles/10.1002%2Fsim.7092, https://api.wiley.com/onlinelibrary/tdm/v1/articles/10.1002%2Fsim.7092, https://onlinelibrary.wiley.com/doi/full/10.1002/sim.7092
Statistics in Medicine10.1002/sim.7061201635285302-5314Bayesian bent-cable growth mixture tobit models for longitudinal data with skewness and detection limit: application to AIDS studiesGetachew A. Dagnehttps://api.wiley.com/onlinelibrary/tdm/v1/articles/10.1002%2Fsim.7061, https://onlinelibrary.wiley.com/doi/full/10.1002/sim.7061
International Statistical Review10.1111/j.1751-5823.2011.00160.x2011793427-454Mixed Hidden Markov Models for Longitudinal Data: An OverviewAntonello Maruottihttps://api.wiley.com/onlinelibrary/tdm/v1/articles/10.1111%2Fj.1751-5823.2011.00160.x
Linear Mixed Models for Longitudinal Data10.1007/978-1-4419-0300-6_242009405-484Case Studieshttp://link.springer.com/content/pdf/10.1007/978-1-4419-0300-6_24
Biometrics10.1111/biom.121002013694914-924Bayesian Latent-Class Mixed-Effect Hybrid Models for Dyadic Longitudinal Data with Non-Ignorable DropoutsJaeil Ahn, Suyu Liu, Wenyi Wang, Ying Yuanhttps://api.wiley.com/onlinelibrary/tdm/v1/articles/10.1111%2Fbiom.12100, http://onlinelibrary.wiley.com/wol1/doi/10.1111/biom.12100/fullpdf