Pages that link to "Item:Q2818198"

The following pages link to Joint modeling of longitudinal and time-to-event data (Q2818198):

Displaying 25 items.

• Inferences for joint modelling of repeated ordinal scores and time to event data (Q612818) (← links)
• Analysis of longitudinal and survival data: joint modeling, inference methods, and issues (Q764437) (← links)
• Joint modeling of event time and nonignorable missing longitudinal data (Q1812096) (← links)
• Joint modeling for longitudinal covariate and binary outcome via h-likelihood (Q2111319) (← links)
• Joint modeling and estimation for longitudinal data with informative observation and terminal event times (Q2832649) (← links)
• A joint model for longitudinal continuous and time-to-event outcomes with direct marginal interpretation (Q2857488) (← links)
• Joint models for longitudinal and time-to-event data. With applications in R (Q2889696) (← links)
• A review on joint modelling of longitudinal measurements and time-to-event (Q2925461) (← links)
• A characterization of missingness at random in a generalized shared-parameter joint modeling framework for longitudinal and time-to-event data, and sensitivity analysis (Q2931059) (← links)
• A Semiparametric Likelihood Approach to Joint Modeling of Longitudinal and Time-to-Event Data (Q3079019) (← links)
• Dynamic Predictions and Prospective Accuracy in Joint Models for Longitudinal and Time-to-Event Data (Q3100782) (← links)
• Comparison of imputation methods for interval censored time-to-event data in joint modelling of tree growth and mortality (Q3174224) (← links)
• Quantifying and comparing dynamic predictive accuracy of joint models for longitudinal marker and time‐to‐event in presence of censoring and competing risks (Q3465731) (← links)
• A Joint Model for Longitudinal Measurements and Survival Data in the Presence of Multiple Failure Types (Q3530092) (← links)
• Multiple-Imputation-Based Residuals and Diagnostic Plots for Joint Models of Longitudinal and Survival Outcomes (Q3561797) (← links)
• Joint modeling of longitudinal, recurrent events and failure time data for survivor's population (Q4556696) (← links)
• Editorial “Joint modeling of longitudinal and time‐to‐event data and beyond” (Q4597894) (← links)
• Joint Modelling of Survival and Longitudinal Data with Informative Observation Times (Q4685444) (← links)
• The joint modeling approach with a simulation study for evaluating the association between the trajectory of serum albumin levels and mortality in peritoneal dialysis patients (Q5057414) (← links)
• JOINT MODEL PREDICTION AND APPLICATION TO INDIVIDUAL-LEVEL LOSS RESERVING (Q5067883) (← links)
• Joint modelling of longitudinal biomarker and gap time between recurrent events: copula-based dependence (Q5130307) (← links)
• (Q5206137) (← links)
• On longitudinal prediction with time‐to‐event outcome: Comparison of modeling options (Q5347405) (← links)
• Joint Models for a Primary Endpoint and Multiple Longitudinal Covariate Processes (Q5449905) (← links)
• Robust joint modelling of longitudinal and survival data: Incorporating a time‐varying degrees‐of‐freedom parameter (Q6068290) (← links)