New inverse probability weighting estimators for time-dependent ROC/AUC under left-truncated right-censored data, covering censoring before study entry and covariate-induced dependence.
Evaluating prediction rules for t-year survivors with censored regression models.Journal of the American Statistical Association.2007;102(478):527–537
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
stat.ME 1years
2025 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
Cumulative/Dynamic Time-Dependent ROC Analysis for Left-Truncated and Right-Censored Data: Estimators and Comparison
New inverse probability weighting estimators for time-dependent ROC/AUC under left-truncated right-censored data, covering censoring before study entry and covariate-induced dependence.