Pages that link to "Item:Q3561481"
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The following pages link to Estimation methods for time‐dependent AUC models with survival data (Q3561481):
Displaying 22 items.
- BFLCRM: a Bayesian functional linear Cox regression model for predicting time to conversion to Alzheimer's disease (Q262406) (← links)
- Nonparametric methodology for the time-dependent partial area under the ROC curve (Q719481) (← links)
- Estimation of incident dynamic AUC in practice (Q829721) (← links)
- Prognostic accuracy for predicting ordinal competing risk outcomes using ROC surfaces (Q2126042) (← links)
- Estimation and inference of predictive discrimination for survival outcome risk prediction models (Q2134155) (← links)
- Non-parametric estimation for time-dependent AUC (Q2266887) (← links)
- Partial AUC Estimation and Regression (Q3079159) (← links)
- Time-dependent classification accuracy curve under marker-dependent sampling (Q3188713) (← links)
- A direct method to evaluate the time‐dependent predictive accuracy for biomarkers (Q3459941) (← 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)
- Time-Dependent AUC with Right-Censored Data: A Survey (Q4984847) (← links)
- Optimal cutoffs for continuous biomarkers for survival data under competing risks (Q5085936) (← links)
- (Q5149245) (← links)
- Cumulative/dynamic ROC curve estimation (Q5221554) (← links)
- Discrimination measures for survival outcomes: Connection between the AUC and the predictiveness curve (Q5391154) (← links)
- Review and comparison of ROC curve estimators for a time‐dependent outcome with marker‐dependent censoring (Q5410266) (← links)
- A unified Bayesian semiparametric approach to assess discrimination ability in survival analysis (Q5739283) (← links)
- A closed max‐t test for multiple comparisons of areas under the ROC curve (Q6079358) (← links)
- Addressing subject heterogeneity in time-dependent discrimination for biomarker evaluation (Q6618417) (← links)
- Smoothed time-dependent receiver operating characteristic curve for right censored survival data (Q6627624) (← links)
- Dynamic prediction with time-dependent marker in survival analysis using supervised functional principal component analysis (Q6628660) (← links)
- Dynamic prediction of Alzheimer's disease progression using features of multiple longitudinal outcomes and time-to-event data (Q6628739) (← links)