Pages that link to "Item:Q3506510"
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The following pages link to Quantifying the Predictive Performance of Prognostic Models for Censored Survival Data with Time-Dependent Covariates (Q3506510):
Displaying 25 items.
- Prediction Accuracy Measures for a Nonlinear Model and for Right-Censored Time-to-Event Data (Q151994) (← links)
- Prognostic assessment of repeatedly measured time-dependent biomarkers, with application to dilated cardiomyopathy (Q152498) (← links)
- Survival data analysis with time-dependent covariates using generalized additive models (Q428325) (← links)
- Time-dependent diagnostic accuracy analysis with censored outcome and censored predictor (Q464590) (← links)
- Predictive comparison of joint longitudinal-survival modeling: a case study illustrating competing approaches (Q746087) (← links)
- Discussion of: ``Predictive comparison of joint longitudinal-survival modeling: a case study illustrating competing approaches'' (Q746088) (← links)
- Predicting disease risks by matching quantiles estimation for censored data (Q2047722) (← links)
- Addressing issues associated with evaluating prediction models for survival endpoints based on the concordance statistic (Q2827205) (← links)
- Graphical procedures for evaluating overall and subject-specific incremental values from new predictors with censored event time data (Q2893397) (← links)
- Choice of prognostic estimators in joint models by estimating differences of expected conditional Kullback-Leibler risks (Q2912329) (← links)
- A Robust Alternative to the Schemper-Henderson Estimator of Prediction Error (Q3013982) (← links)
- Time-Dependent Predictive Accuracy in the Presence of Competing Risks (Q3076028) (← links)
- Quantifying the predictive accuracy of time-to-event models in the presence of competing risks (Q3084185) (← links)
- Development and validation of a dynamic prognostic tool for prostate cancer recurrence using repeated measures of posttreatment PSA: a joint modeling approach (Q3305046) (← links)
- Explained variation for recurrent event data (Q3451371) (← 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)
- Semiparametric Models of Time-Dependent Predictive Values of Prognostic Biomarkers (Q3561800) (← 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)
- On longitudinal prediction with time‐to‐event outcome: Comparison of modeling options (Q5347405) (← links)
- Measures of prediction error for survival data with longitudinal covariates (Q5391158) (← links)
- Discussion of “A Risk-Based Measure of Time-Varying Prognostic Discrimination for Survival Models,” by C. Jason Liang and Patrick J. Heagerty (Q6079968) (← links)
- Assessing predictive accuracy of survival regressions subject to nonindependent censoring (Q6627316) (← links)
- On the time-varying predictive performance of longitudinal biomarkers: measure and estimation (Q6628009) (← links)
- Dynamic prediction with time-dependent marker in survival analysis using supervised functional principal component analysis (Q6628660) (← links)
- Incorporating longitudinal biomarkers for dynamic risk prediction in the era of big data: a pseudo-observation approach (Q6629825) (← links)
