Pages that link to "Item:Q746093"

The following pages link to A general joint model for longitudinal measurements and competing risks survival data with heterogeneous random effects (Q746093):

Displaying 25 items.

• Fast fitting of joint models for longitudinal and event time data using a pseudo-adaptive Gaussian quadrature rule (Q425636) (← links)
• A joint model of longitudinal and competing risks survival data with heterogeneous random effects and outlying longitudinal measurements (Q440211) (← links)
• Discussion of: ``Predictive comparison of joint longitudinal-survival modeling: a case study illustrating competing approaches'' (Q746088) (← links)
• Rejoinder for ``Predictive comparison of joint longitudinal-survival modeling: a case study illustrating competing approaches'' (Q746089) (← links)
• Bayesian inference of the fully specified subdistribution model for survival data with competing risks (Q746152) (← links)
• A joint modelling of socio-professional trajectories and cause-specific mortality (Q1662085) (← links)
• Penalized likelihood approach for simultaneous analysis of survival time and binary longitudinal outcome (Q1698208) (← links)
• Joint modeling of survival time and longitudinal outcomes with flexible random effects (Q1698947) (← links)
• Bayesian semiparametric mixed-effects joint models for analysis of longitudinal-competing risks data with skew distribution (Q1748663) (← links)
• Regression analysis of interval-censored failure time data with time-dependent covariates (Q2291291) (← links)
• Bayesian inference on longitudinal-survival data with multiple features (Q2403392) (← links)
• Assessing importance of biomarkers: A Bayesian joint modelling approach of longitudinal and survival data with semi-competing risks (Q3389290) (← links)
• Joint modelling of longitudinal and survival data in the presence of competing risks with applications to prostate cancer data (Q3389293) (← links)
• A Joint Model for Longitudinal Measurements and Survival Data in the Presence of Multiple Failure Types (Q3530092) (← links)
• Robust Joint Modeling of Longitudinal Measurements and Competing Risks Failure Time Data (Q5123147) (← links)
• Jointly modeling skew longitudinal survival data with missingness and mismeasured covariates (Q5138713) (← links)
• Bayesian varying coefficient mixed-effects joint models with asymmetry and missingness (Q5142173) (← links)
• (Q5206137) (← links)
• Discussion of: ``Predictive comparison of joint longitudinal-survival modeling: a case study illustrating competing approaches'' (Q5966199) (← links)
• Dynamic risk score modeling for multiple longitudinal risk factors and survival (Q6071697) (← 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)
• New C-indices for assessing importance of longitudinal biomarkers in fitting competing risks survival data in the presence of partially masked causes (Q6617488) (← links)
• Joint analysis of longitudinal measurements and spatially clustered competing risks HIV/AIDS data (Q6628193) (← links)
• Joint models of longitudinal and time-to-event data with more than one event time outcome: a review (Q6636164) (← links)