Pages that link to "Item:Q4364841"
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The following pages link to Adaption of bivariate frailty models for prediction, with application to biological markers as prognostic indicators (Q4364841):
Displaying 30 items.
- Spline-based models for predictiveness curves and surfaces (Q440256) (← links)
- Semicompeting risks in aging research: methods, issues and needs (Q509854) (← links)
- Maximum likelihood analysis of semicompeting risks data with semiparametric regression models (Q746119) (← links)
- Bayesian gamma frailty models for survival data with semi-competing risks and treatment switching (Q746532) (← links)
- Local linear estimation of concordance probability with application to covariate effects models on association for bivariate failure-time data (Q746633) (← links)
- Validation of prognostic indices using the frailty model (Q841049) (← links)
- Tails of multivariate Archimedean copulas (Q1021851) (← links)
- Estimation of the survival function with redistribution algorithm under semi-competing risks data (Q1686357) (← links)
- A pseudo-values regression model for non-fatal event free survival in the presence of semi-competing risks (Q2082473) (← links)
- Improving estimation efficiency for semi-competing risks data with partially observed terminal event (Q2832032) (← links)
- Semiparametric transformation models for semicompeting survival data (Q2927611) (← links)
- Using Frailty Models to Identify the Longitudinal Biomarkers in Survival Analysis (Q3064066) (← links)
- Statistical Analysis of Illness-Death Processes and Semicompeting Risks Data (Q3064257) (← links)
- Adaptive index models for marker-based risk stratification (Q3303650) (← links)
- Evidence-Based Assessment and Application of Prognostic Markers: The Long Way from Single Studies to Meta-Analysis (Q3424163) (← links)
- Marginal Regression Analysis for Semi‐Competing Risks Data Under Dependent Censoring (Q3552968) (← links)
- Regression Analysis Based on Semicompeting Risks Data (Q3631441) (← links)
- On Assessing Surrogacy in a Single Trial Setting Using a Semicompeting Risks Paradigm (Q3637000) (← links)
- Predicting survival using disease history: a model combining relative survival and frailty (Q4469592) (← links)
- A markov regression model for the analysis of the postpartum lactational amenorrhea (Q4784247) (← links)
- Marginal and Conditional Distribution Estimation from Double‐sampled Semi‐competing Risks Data (Q5177952) (← links)
- A latent variable scorecard for neonatal baby frailty (Q5313612) (← links)
- Regression Modeling of Semicompeting Risks Data (Q5427403) (← links)
- Estimating Survival and Association in a Semicompeting Risks Model (Q5450473) (← links)
- Pseudo Self-Consistent Estimation of a Copula Model with Informative Censoring (Q5467680) (← links)
- Markov models with lognormal transition rates in the analysis of survival times (Q5936977) (← links)
- Causal mediation of semicompeting risks (Q6079242) (← links)
- Unified semicompeting risks analysis of hepatitis natural history through mediation modeling (Q6149269) (← links)
- Model-based hypothesis tests for the causal mediation of semi-competing risks (Q6205048) (← links)
- Hypothesis test for causal mediation of time-to-event mediator and outcome (Q6628339) (← links)