Pages that link to "Item:Q5381088"

The following pages link to Extending the Archimedean Copula Methodology to Model Multivariate Survival Data Grouped in Clusters of Variable Size (Q5381088):

Displaying 16 items.

• Factor copula models for right-censored clustered survival data (Q825281) (← links)
• Modelling udder infection data using copula models for quadruples (Q840748) (← links)
• Bayesian bivariate survival analysis using the power variance function copula (Q1642151) (← links)
• Modelling the association in bivariate survival data by using a Bernstein copula (Q2135890) (← links)
• Estimation of the association parameters in hierarchically clustered survival data by nested Archimedean copula functions (Q2135933) (← links)
• Investigating the correlation structure of quadrivariate udder infection times through hierarchical Archimedean copulas (Q2274654) (← links)
• Copula based flexible modeling of associations between clustered event times (Q2398456) (← links)
• A copula-based approach for estimating the survival functions of two alternating recurrent events (Q4960742) (← links)
• Profile likelihood approaches for semiparametric copula and frailty models for clustered survival data (Q5036930) (← links)
• Penalized variable selection in copula survival models for clustered time-to-event data (Q5107731) (← links)
• Copula Link-Based Additive Models for Right-Censored Event Time Data (Q5130629) (← links)
• A joint frailty‐copula model for meta‐analytic validation of failure time surrogate endpoints in clinical trials (Q6071311) (← links)
• Analysis of clustered failure time data with cure fraction using copula (Q6625192) (← links)
• Association measures for clustered competing risks (Q6627312) (← links)
• A general frailty model to accommodate individual heterogeneity in the acquisition of multiple infections: an application to bivariate current status data (Q6627373) (← links)
• A Copula-based approach for dynamic prediction of survival with a binary time-dependent covariate (Q6627992) (← links)