A joint modelling of socio-professional trajectories and cause-specific mortality
From MaRDI portal
Publication:1662085
DOI10.1016/j.csda.2017.10.002zbMath1469.62090OpenAlexW2765998583WikidataQ115045091 ScholiaQ115045091MaRDI QIDQ1662085
Publication date: 17 August 2018
Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)
Full work available at URL: http://hdl.handle.net/10044/1/59849
joint modelgeneralized linear mixed modellarge-scale datacause-specific hazardsmembership probability
Computational methods for problems pertaining to statistics (62-08) Applications of statistics to biology and medical sciences; meta analysis (62P10) Generalized linear models (logistic models) (62J12) Estimation in survival analysis and censored data (62N02)
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Longitudinal data analysis using generalized linear models
- Random-Effects Models for Longitudinal Data
- Pseudo-likelihood methodology for partitioned large and complex samples
- A general joint model for longitudinal measurements and competing risks survival data with heterogeneous random effects
- Asymptotic results for maximum likelihood estimators in joint analysis of repeated measurements and survival time
- Joint Models for Longitudinal and Time-to-Event Data
- Joint Modeling of Longitudinal and Time-to-Event Data: Challenges and Future Directions
- A Joint Model for Longitudinal Measurements and Survival Data in the Presence of Multiple Failure Types
- The Analysis of Failure Times in the Presence of Competing Risks
- A Joint Model for Survival and Longitudinal Data Measured with Error
- Joint modelling of longitudinal measurements and event time data
- Statistical models based on counting processes