Li, K., & Luo, S. (2019). Dynamic predictions in Bayesian functional joint models for longitudinal and time-to-event data: An application to Alzheimer's disease. Statistical methods in medical research, 28(2), 327. https://doi.org/10.1177/0962280217722177
Chicago Style (17th ed.) CitationLi, Kan, and Sheng Luo. "Dynamic Predictions in Bayesian Functional Joint Models for Longitudinal and Time-to-event Data: An Application to Alzheimer's Disease." Statistical Methods in Medical Research 28, no. 2 (2019): 327. https://doi.org/10.1177/0962280217722177.
MLA (9th ed.) CitationLi, Kan, and Sheng Luo. "Dynamic Predictions in Bayesian Functional Joint Models for Longitudinal and Time-to-event Data: An Application to Alzheimer's Disease." Statistical Methods in Medical Research, vol. 28, no. 2, 2019, p. 327, https://doi.org/10.1177/0962280217722177.