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Journal of the American Statistical Association Volume 111, 2016 - Issue 516
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Applications and Case Studies

Bayesian Methods for Nonignorable Dropout in Joint Models in Smoking Cessation Studies

J. T. GaskinsDepartment of Bioinformatics and Biostatistics, University of Louisville, Louisville, KY, USA
,
M. J. DanielsDepartment of Integrative Biology, Department of Statistics & Data Sciences, University of Texas at Austin, Austin, TX, USACorrespondence[email protected]
&
B. H. MarcusDepartment of Family and Preventive Medicine, University of California San Diego, San Diego, CA, USA
Pages 1454-1465 | Received 01 Jul 2014, Published online: 05 Jan 2017

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T. Baghfalaki, M. Ganjali, A. Kabir & A. Pazouki. (2022) A Bayesian shared parameter model for joint modeling of longitudinal continuous and binary outcomes. Journal of Applied Statistics 49:3, pages 638-655.
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G. Frank Liu, Fang Liu & Devan V. Mehrotra. (2020) Model Averaging Using Likelihoods That Reflect Poor Outcomes for Clinical Trial Dropouts. Statistics in Biopharmaceutical Research 12:1, pages 79-89.
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Articles from other publishers (4)

Amelia L.M. Tan, Emily J. Getzen, Meghan R. Hutch, Zachary H. Strasser, Alba Gutiérrez-Sacristán, Trang T. Le, Arianna Dagliati, Michele Morris, David A. Hanauer, Bertrand Moal, Clara-Lea Bonzel, William Yuan, Lorenzo Chiudinelli, Priam Das, Harrison G. Zhang, Bruce J. Aronow, Paul Avillach, Gabriel.A. Brat, Tianxi Cai, Chuan Hong, William G. La Cava, He Hooi Will Loh, Yuan Luo, Shawn N. Murphy, Kee Yuan Hgiam, Gilbert S. Omenn, Lav P. Patel, Malarkodi Jebathilagam Samayamuthu, Emily R. Shriver, Zahra Shakeri Hossein Abad, Byorn W.L. Tan, Shyam Visweswaran, Xuan Wang, Griffin M. Weber, Zongqi Xia, Bertrand Verdy, Qi Long, Danielle L. Mowery & John H. Holmes. (2023) Informative missingness: What can we learn from patterns in missing laboratory data in the electronic health record?. Journal of Biomedical Informatics 139, pages 104306.
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Melkamu Molla Ferede, Samuel Mwalili, Getachew Dagne, Simon Karanja, Workagegnehu Hailu, Mahmoud El-Morshedy & Afrah Al-Bossly. (2022) A Semiparametric Bayesian Joint Modelling of Skewed Longitudinal and Competing Risks Failure Time Data: With Application to Chronic Kidney Disease. Mathematics 10:24, pages 4816.
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Tong Kang, Jeremy Gaskins, Steven Levy & Somnath Datta. (2020) A longitudinal Bayesian mixed effects model with hurdle Conway‐Maxwell‐Poisson distribution. Statistics in Medicine 40:6, pages 1336-1356.
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Antonio R. Linero & Michael J. Daniels. (2018) Bayesian Approaches for Missing Not at Random Outcome Data: The Role of Identifying Restrictions. Statistical Science 33:2.
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