Pages that link to "Item:Q3465731"

The following pages link to Quantifying and comparing dynamic predictive accuracy of joint models for longitudinal marker and time‐to‐event in presence of censoring and competing risks (Q3465731):

Displaying 21 items.

• Assessing the numerical integration of dynamic prediction formulas using the exact expressions under the joint frailty-copula model (Q2068976) (← links)
• Missing link survival analysis with applications to available pandemic data (Q2076104) (← links)
• Comparison of joint modelling and landmarking approaches for dynamic prediction using bootstrap simulation (Q2089366) (← links)
• The Wally plot approach to assess the calibration of clinical prediction models (Q2274667) (← links)
• Choice of prognostic estimators in joint models by estimating differences of expected conditional Kullback-Leibler risks (Q2912329) (← links)
• Dynamic Predictions and Prospective Accuracy in Joint Models for Longitudinal and Time-to-Event Data (Q3100782) (← links)
• Validation of discrete time‐to‐event prediction models in the presence of competing risks (Q3299057) (← links)
• Dynamic prediction of cumulative incidence functions by direct binomial regression (Q4584968) (← links)
• Comparison of joint modeling and landmarking for dynamic prediction under an illness‐death model (Q4597922) (← links)
• On longitudinal prediction with time‐to‐event outcome: Comparison of modeling options (Q5347405) (← links)
• A flexible joint model for multiple longitudinal biomarkers and a time‐to‐event outcome: With applications to dynamic prediction using highly correlated biomarkers (Q6068288) (← links)
• Review and Comparison of Computational Approaches for Joint Longitudinal and Time‐to‐Event Models (Q6086623) (← links)
• Spatial joint models through Bayesian structured piecewise additive joint modelling for longitudinal and time-to-event data (Q6089191) (← links)
• Bayesian predictive model averaging approach to joint longitudinal-survival modeling: application to an immuno-oncology clinical trial (Q6560489) (← links)
• Optimizing dynamic predictions from joint models using super learning (Q6618415) (← links)
• Multivariate joint model under competing risks to predict death of hospitalized patients for SARS-CoV-2 infection (Q6625421) (← links)
• A Copula-based approach for dynamic prediction of survival with a binary time-dependent covariate (Q6627992) (← links)
• Backward joint model and dynamic prediction of survival with multivariate longitudinal data (Q6628473) (← links)
• Deep learning for the dynamic prediction of multivariate longitudinal and survival data (Q6628599) (← links)
• Dynamic prediction with time-dependent marker in survival analysis using supervised functional principal component analysis (Q6628660) (← links)
• Dynamic prediction of Alzheimer's disease progression using features of multiple longitudinal outcomes and time-to-event data (Q6628739) (← links)