Pages that link to "Item:Q1662857"

The following pages link to Semiparametric regression analysis of clustered survival data with semi-competing risks (Q1662857):

Displaying 33 items.

• Maximum likelihood analysis of semicompeting risks data with semiparametric regression models (Q746119) (← links)
• Regression analysis based on conditional likelihood approach under semi-competing risks data (Q746149) (← links)
• Faster Monte Carlo estimation of joint models for time-to-event and multivariate longitudinal data (Q830615) (← links)
• Multivariate failure time distributions derived from shared frailty and copulas (Q2068954) (← links)
• Inference on win ratio for cluster-randomized semi-competing risk data (Q2068973) (← links)
• Assessing the numerical integration of dynamic prediction formulas using the exact expressions under the joint frailty-copula model (Q2068976) (← links)
• A pseudo-values regression model for non-fatal event free survival in the presence of semi-competing risks (Q2082473) (← links)
• A fast approximate EM algorithm for joint models of survival and multivariate longitudinal data (Q2129581) (← links)
• Frailty modelling approaches for semi-competing risks data (Q2176312) (← links)
• Meta-analysis of individual patient data with semi-competing risks under the Weibull joint frailty-copula model (Q2228211) (← links)
• Generalized inverse-Gaussian frailty models with application to TARGET neuroblastoma data (Q2230877) (← links)
• Semiparametric model for semi-competing risks data with application to breast cancer study (Q2398463) (← links)
• A Semi‐parametric Transformation Frailty Model for Semi‐competing Risks Survival Data (Q2965538) (← links)
• Statistical Analysis of Illness-Death Processes and Semicompeting Risks Data (Q3064257) (← links)
• Simulation study of the glmm method applied to the analysis of clustered survival data (Q4347014) (← links)
• A Bayesian joint model of recurrent events and a terminal event (Q4626721) (← links)
• Bayesian Analysis for Clustered Data under a Semi-Competing Risks Framework (Q5051098) (← links)
• Semiparametric mixed-effects models for clustered doubly censored data (Q5127050) (← links)
• A semiparametric random effects model for multivariate competing risks data (Q5305476) (← links)
• Flexible association modelling and prediction with semi‐competing risks data (Q5507363) (← links)
• Estimation of a common mean vector in bivariate meta-analysis under the FGM copula (Q5742600) (← links)
• Competing risks model for clustered data based on the subdistribution hazards with spatial random effects (Q5865413) (← links)
• Dynamic risk score modeling for multiple longitudinal risk factors and survival (Q6071697) (← links)
• Semiparametric Regression Analysis of Interval-Censored Competing Risks Data (Q6079980) (← links)
• Bayesian ridge regression for survival data based on a vine copula-based prior (Q6120619) (← links)
• Dynamic lifetime prediction using a Weibull-based bivariate failure time model: a meta-analysis of individual-patient data (Q6171306) (← links)
• The Pareto type I joint frailty-copula model for clustered bivariate survival data (Q6562748) (← links)
• Alternative statistical modeling for radical prostatectomy data (Q6571991) (← links)
• A flexible and robust method for assessing conditional association and conditional concordance (Q6625148) (← links)
• Semiparametric copula-based analysis for treatment effects in the presence of treatment switching (Q6627559) (← links)
• On shared gamma-frailty conditional Markov model for semicompeting risks data (Q6627572) (← links)
• Joint analysis of longitudinal measurements and spatially clustered competing risks HIV/AIDS data (Q6628193) (← links)
• Inference for a generalized family of distributions under partially observed left truncated and right censored competing risks data (Q6635376) (← links)