A Bayesian shared parameter model for joint modeling of longitudinal continuous and binary outcomes

• Published in: Journal of applied statistics Vol. 49; no. 3; pp. 638 - 655
• Main Authors: Baghfalaki, T., Ganjali, M., Kabir, A., Pazouki, A.
• Format: Journal Article
• Language: English
• Published: England Taylor & Francis 17.02.2022
• Subjects: Conditional model; intermittent missingness; joint modeling; longitudinal data; MCMC methods; mixed-effects model; intermittent missingness; joint modeling; mixed-effects model; Conditional model; MCMC methods; longitudinal data

Joint modeling of associated mixed biomarkers in longitudinal studies leads to a better clinical decision by improving the efficiency of parameter estimates. In many clinical studies, the observed time for two biomarkers may not be equivalent and one of the longitudinal responses may have recorded i...