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Journal of Biopharmaceutical Statistics Volume 25, 2015 - Issue 5
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Original Articles

A Copula Approach to Joint Modeling of Longitudinal Measurements and Survival Times Using Monte Carlo Expectation-Maximization with Application to AIDS Studies

M. GanjaliDepartment of Statistics, Shahid Beheshti University, Tehran, Iran;School of Biological Science, Institute for Research in Fundamental Sciences (IPM), IranCorrespondence[email protected]
&
T. BaghfalakiDepartment of Statistics, Tarbiat Modares University, Tehran, Iran
Pages 1077-1099 | Received 05 Aug 2013, Accepted 10 Jul 2014, Published online: 07 Jul 2015

Citations (9)

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Read on this site (2)

Zili Zhang, Christiana Charalambous & Peter Foster. (2023) Joint modelling of longitudinal measurements and survival times via a multivariate copula approach. Journal of Applied Statistics 50:13, pages 2739-2759.
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Awoke Seyoum Tegegne. (2021) Joint Predictors of Hypertension and Type 2 Diabetes Among Adults Under Treatment in Amhara Region (North-Western Ethiopia). Diabetes, Metabolic Syndrome and Obesity 14, pages 2453-2463.
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Articles from other publishers (7)

Xiaoming Lu, Thierry Chekouo, Hua Shen & Alexander R. de Leon. (2023) A two‐level copula joint model for joint analysis of longitudinal and competing risks data. Statistics in Medicine 42:12, pages 1909-1930.
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Zili Zhang, Christiana Charalambous & Peter Foster. (2023) A Gaussian copula joint model for longitudinal and time-to-event data with random effects. Computational Statistics & Data Analysis 181, pages 107685.
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Muhammad Amjad, Muhammad Akbar & Hamd Ullah. (2022) A copula-based approach for creating an index of micronutrient intakes at household level in Pakistan. Economics & Human Biology 46, pages 101148.
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Krithika Suresh, Jeremy M G Taylor & Alexander Tsodikov. (2021) A Gaussian copula approach for dynamic prediction of survival with a longitudinal biomarker. Biostatistics 22:3, pages 504-521.
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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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Taban Baghfalaki & Mojtaba Ganjali. (2019) A transition model for analyzing multivariate longitudinal data using Gaussian copula approach. AStA Advances in Statistical Analysis 104:2, pages 169-223.
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Hanze Zhang & Yangxin Huang. (2019) Quantile regression-based Bayesian joint modeling analysis of longitudinal–survival data, with application to an AIDS cohort study. Lifetime Data Analysis 26:2, pages 339-368.
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