Citations (18)
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Zahra Sadat Arabi, Reza Hashemi & Taban Baghfalaki. (2023) Bayesian joint modelling of multiple longitudinal outcomes and dependent competing risks using bivariate Marshall–Olkin weibull distribution. Journal of Statistical Computation and Simulation 0:0, pages 1-22.
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Srimanti Dutta, Geert Molenberghs & Arindom Chakraborty. (2022) Joint modelling of longitudinal response and time-to-event data using conditional distributions: a Bayesian perspective. Journal of Applied Statistics 49:9, pages 2228-2245.
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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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P. Mehdizadeh, Taban Baghfalaki, M. Esmailian & M. Ganjali. (2021) A two-stage approach for joint modeling of longitudinal measurements and competing risks data. Journal of Biopharmaceutical Statistics 31:4, pages 448-468.
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Ali Azarbar, Yu Wang & Saralees Nadarajah. (2021) Simultaneous Bayesian modeling of longitudinal and survival data in breast cancer patients. Communications in Statistics - Theory and Methods 50:2, pages 400-414.
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Taban Baghfalaki, Shiva Kalantari, Mojtaba Ganjali, Farzad Hadaegh & Bagher Pahlavanzadeh. (2020) Bayesian joint modeling of ordinal longitudinal measurements and competing risks survival data for analysing Tehran Lipid and Glucose Study. Journal of Biopharmaceutical Statistics 30:4, pages 689-703.
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Getachew A. Dagne. (2018) Joint bent-cable Tobit models for longitudinal and time-to-event data. Journal of Biopharmaceutical Statistics 28:3, pages 385-401.
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Taban Baghfalaki, Mojtaba Ganjali & Geert Verbeke. (2017) A shared parameter model of longitudinal measurements and survival time with heterogeneous random-effects distribution. Journal of Applied Statistics 44:15, pages 2813-2836.
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M. H. Hof, J. Z. Musoro, R. B. Geskus, G. H. Struijk, I. J. M. ten Berge & A. H. Zwinderman. (2017) Simulated maximum likelihood estimation in joint models for multiple longitudinal markers and recurrent events of multiple types, in the presence of a terminal event. Journal of Applied Statistics 44:15, pages 2756-2777.
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Articles from other publishers (9)
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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Lisa M. McFetridge, Özgür Asar & Jonas Wallin. (2021) Robust joint modelling of longitudinal and survival data: Incorporating a time‐varying degrees‐of‐freedom parameter. Biometrical Journal 63:8, pages 1587-1606.
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T Baghfalaki & M Ganjali. (2021) Approximate Bayesian inference for joint linear and partially linear modeling of longitudinal zero-inflated count and time to event data. Statistical Methods in Medical Research 30:6, pages 1484-1501.
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Özgür Asar, Marie-Cécile Fournier & Etienne Dantan. (2020) Dynamic predictions of kidney graft survival in the presence of longitudinal outliers. Statistical Methods in Medical Research 30:1, pages 185-203.
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Maha Alsefri, Maria Sudell, Marta García-Fiñana & Ruwanthi Kolamunnage-Dona. (2020) Bayesian joint modelling of longitudinal and time to event data: a methodological review. BMC Medical Research Methodology 20:1.
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Taban Baghfalaki. (2019) Bayesian Sample Size Determination for Joint Modeling of Longitudinal Measurements and Survival Data. Journal of Statistical Research of Iran 15:2, pages 213-236.
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An-Min Tang, Xingqiu Zhao & Nian-Sheng Tang. (2017) Bayesian variable selection and estimation in semiparametric joint models of multivariate longitudinal and survival data. Biometrical Journal 59:1, pages 57-78.
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Shima Younespour, Abbas Rahimi Foroushani, Elham Maraghi, Zohreh Rostami, Behzad Einollahi, Mohammad Reza Eshraghian & Kazem Mohammad. (2016) Longitudinal Serum Creatinine Levels in Relation to Graft Loss Following Renal Transplantation: Robust Joint Modeling of Longitudinal Measurements and Survival Time Data. Nephro-Urology Monthly 8:5.
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Stephen Z. Levine, Yair Goldberg, Myrto Samara, John M. Davis & Stefan Leucht. (2015) Joint modeling of dropout and outcome in three pivotal clinical trials of schizophrenia. Schizophrenia Research 164:1-3, pages 122-126.
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