Two-stage joint model for multivariate longitudinal and multistate processes, with application to renal transplantation data
From MaRDI portal
Publication:2039151
DOI10.1155/2021/6641602zbMath1468.62371OpenAlexW3155215113MaRDI QIDQ2039151
Leili Tapak, Hossein Mahjub, Mohammad Ali Amirzargar, Behnaz Alafchi, Ghodratollah Roshanaei
Publication date: 2 July 2021
Published in: Journal of Probability and Statistics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1155/2021/6641602
Estimation in multivariate analysis (62H12) Applications of statistics to biology and medical sciences; meta analysis (62P10) Reliability and life testing (62N05)
Uses Software
Cites Work
- Validity of the Aalen-Johansen estimators of stage occupation probabilities and Nelson-Aalen estimators of integrated transition hazards for non-Markov models
- Joint Models for Longitudinal and Time-to-Event Data
- Modeling Disease Market Processes in AIDS
- Joint model with latent state for longitudinal and multistate data
- Semiparametric Modeling of Longitudinal Measurements and Time‐to‐Event Data–A Two‐Stage Regression Calibration Approach
- Joint Inference on HIV Viral Dynamics and Immune Suppression in Presence of Measurement Errors
- Semi-Markov models for partially censored data
- A Joint Model for Survival and Longitudinal Data Measured with Error
- Two‐stage model for multivariate longitudinal and survival data with application to nephrology research
- Modeling the Relationship of Survival to Longitudinal Data Measured with Error. Applications to Survival and CD4 Counts in Patients with AIDS
- A modified two-stage approach for joint modelling of longitudinal and time-to-event data
- Joint Modelling of Repeated Measures and Survival Time Data
- Joint Models for Multivariate Longitudinal and Multivariate Survival Data
- Longitudinal Data Analysis