Pages that link to "Item:Q4597922"
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The following pages link to Comparison of joint modeling and landmarking for dynamic prediction under an illness‐death model (Q4597922):
Displaying 15 items.
- Dynamic predicting by landmarking as an alternative for multi-state modeling: an application to acute lymphoid leukemia data (Q841036) (← links)
- Assessing the numerical integration of dynamic prediction formulas using the exact expressions under the joint frailty-copula model (Q2068976) (← links)
- Comparison of joint modelling and landmarking approaches for dynamic prediction using bootstrap simulation (Q2089366) (← links)
- Dynamic prediction: A challenge for biostatisticians, but greatly needed by patients, physicians and the public (Q3299081) (← links)
- Dynamic Prediction by Landmarking in Event History Analysis (Q5430598) (← links)
- Deep learning models to predict primary open-angle glaucoma (Q6548921) (← links)
- Bayesian predictive model averaging approach to joint longitudinal-survival modeling: application to an immuno-oncology clinical trial (Q6560489) (← links)
- Model-agnostic explanations for survival prediction models (Q6618504) (← links)
- Surrogacy validation for time-to-event outcomes with illness-death frailty models (Q6625395) (← links)
- A comparison of two approaches to dynamic prediction: joint modeling and landmark modeling (Q6625749) (← links)
- Individualized dynamic prediction of survival with the presence of intermediate events (Q6627214) (← links)
- Analysis of time-to-event for observational studies: guidance to the use of intensity models (Q6627876) (← links)
- A Copula-based approach for dynamic prediction of survival with a binary time-dependent covariate (Q6627992) (← links)
- Landmarking 2.0: bridging the gap between joint models and landmarking (Q6628335) (← links)
- Estimating effects of time-varying exposures on mortality risk (Q6643334) (← links)
