Pages that link to "Item:Q1698947"
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The following pages link to Joint modeling of survival time and longitudinal outcomes with flexible random effects (Q1698947):
Displaying 14 items.
- A joint model of longitudinal and competing risks survival data with heterogeneous random effects and outlying longitudinal measurements (Q440211) (← links)
- Penalized likelihood approach for simultaneous analysis of survival time and binary longitudinal outcome (Q1698208) (← links)
- Special issue dedicated to Jack Kalbfleisch (Q1698937) (← links)
- Method of sieves to jointly model survival and longitudinal data (Q2844446) (← links)
- Fully exponential Laplace approximations for the joint modelling of survival and longitudinal data (Q2920260) (← links)
- Joint modelling of longitudinal and time-to-event data with application to predicting abdominal aortic aneurysm growth and rupture (Q3100760) (← links)
- Improved dynamic predictions from joint models of longitudinal and survival data with time-varying effects using P-splines (Q3119899) (← links)
- Latent-Model Robustness in Joint Models for a Primary Endpoint and a Longitudinal Process (Q3183205) (← links)
- Shared parameter models under random effects misspecification (Q3631480) (← links)
- Joint modeling of longitudinal, recurrent events and failure time data for survivor's population (Q4556696) (← links)
- Joint Modelling of Survival and Longitudinal Data with Informative Observation Times (Q4685444) (← links)
- A flexible bimodal model with long-term survivors and different regression structures (Q5083885) (← links)
- Quantifying direct and indirect effect for longitudinal mediator and survival outcome using joint modeling approach (Q6055651) (← links)
- Robust joint modelling of longitudinal and survival data: Incorporating a time‐varying degrees‐of‐freedom parameter (Q6068290) (← links)
