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NTIS 바로가기응용통계연구 = The Korean journal of applied statistics, v.35 no.1, 2022년, pp.35 - 47
The receiver operating characteristic (ROC) curve was developed to quantify the classification ability of marker values (covariates) on the response variable and has been extended to survival data with diverse missing data structure. When survival data is understood as binary data (status of being a...
Akritas MG (1994). Nearest neighbor estimation of a bivariate distribution under random censoring, Annals of Statistics, 22, 1299-1327.
Blanche P, Dartigues JF, and Jacqmin-Gadda H (2013). Review and comparison of ROC curve estimators for a time-dependent outcome with marker-dependent censoring, Biometrical Journal, 55, 687-704.
Blanche P, Dartigues JF, and Jacqmin-Gadda H (2013b). Estimating and comparing time-dependent areas under receiver operating characteristic curves for censored event times with competing risks, Statistics in Medicine, 32, 5381-5397.
Chambless LE and Diao G (2006). Estimation of time-dependent area under the ROC curve for long-term risk prediction, Statistics in Medicine, 25, 3474-3486.
Fine JP and Gray RJ (1999). A proportional hazards model for the subdistribution of a competing risk, Journal of the American Statistical Association, 94, 496-509.
Foucher Y, Giral M, Soulillou JP, and Daures JP (2010). Time-dependent ROC analysis for a three-class prognostic with application to kidney transplantation, Statistics in Medicine, 29, 3079-3087.
Gerds TA, Kattan MW, Schumacher M, and Yu C (2013). Estimating a time-dependent concordance index for survival prediction models with covariate dependent censoring, Statistics in Medicine, 32, 2173-2184.
Harrell F, Kerry L, and Mark D (1996). Multivariable prognostic models: issues in developing models, evaluating assumptions and adequacy, and measuring and reducing errors, Statistics in Medicine, 15, 361-387.
Heagerty PJ, Lumley T, and Pepe MS (2000). Time-dependent ROC curves for censored survival data and a diagnostic marker, Biometrics, 56, 337-344.
Heagerty PJ and Zheng Y (2005). Survival model predictive accuracy and ROC curves, Biometrics, 61, 92-105.
Hung H and Chiang CT (2010). Estimation methods for time-dependent AUC models with survival data, The Canadian Journal of Statistics, 38, 8-26.
Letenneur L, Commenges D, Dartigues JF, and Barberger-Gateau P (1994). Incidence of dementia and alzheimer's disease in elderly community residents of southwestern France, International Journal of Epidemiology, 23, 1256-1261.
Rizopoulos D (2011). Dynamic predictions and prospective accuracy in joint models for longitudinal and time-to-event data, Biometrics, 67, 819-829.
Uno H, Cai TX, Tian L, and Wei LJ (2007). Evaluating prediction rules for t-year survivors with censored regression models, Journal of American Statistical Association, 102, 527-537.
Zheng Y and Heagerty PJ (2004). Semiparametric estimation of time-dependent ROC curves for longitudinal marker data, Biostatistics, 5, 615-632.
Zheng Y and Heagerty PJ (2007). Prospective accuracy for longitudinal markers, Biometrics, 63, 332-341.
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