A comparison of landmark methods and time-dependent ROC methods to evaluate the time-varying performance of prognostic markers for survival outcomes
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[1] P. Heagerty,et al. A risk‐based measure of time‐varying prognostic discrimination for survival models , 2017, Biometrics.
[2] Benjamin French,et al. Development and evaluation of multi-marker risk scores for clinical prognosis , 2016, Statistical methods in medical research.
[3] Dimitrios I. Fotiadis,et al. Machine learning applications in cancer prognosis and prediction , 2014, Computational and structural biotechnology journal.
[4] A. Bansal,et al. When does combining markers improve classification performance and what are implications for practice? , 2013, Statistics in medicine.
[5] P. Heagerty,et al. Non-parametric estimation of a time-dependent predictive accuracy curve. , 2013, Biostatistics.
[6] H. Putter,et al. Dynamic Prediction in Clinical Survival Analysis , 2011 .
[7] Ewout W Steyerberg,et al. Extensions of net reclassification improvement calculations to measure usefulness of new biomarkers , 2011, Statistics in medicine.
[8] B. Barlogie,et al. Prognostic factor analyses of myeloma survival with intergroup trial S9321 (INT 0141): examining whether different variables govern different time segments of survival , 2011, Annals of Hematology.
[9] P. Heagerty,et al. Time‐Dependent Predictive Accuracy in the Presence of Competing Risks , 2010, Biometrics.
[10] Robert Tibshirani,et al. Survival analysis with high-dimensional covariates , 2010, Statistical methods in medical research.
[11] P. Tartter,et al. Does oncotype DX recurrence score affect the management of patients with early-stage breast cancer? , 2008, American journal of surgery.
[12] M. Pencina,et al. Evaluating the added predictive ability of a new marker: From area under the ROC curve to reclassification and beyond , 2008, Statistics in medicine.
[13] R. Bast,et al. American Society of Clinical Oncology 2007 update of recommendations for the use of tumor markers in breast cancer. , 2007, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.
[14] Yingye Zheng,et al. Prospective Accuracy for Longitudinal Markers , 2007, Biometrics.
[15] Jason McCoy,et al. Standard chemotherapy compared with high-dose chemoradiotherapy for multiple myeloma: final results of phase III US Intergroup Trial S9321. , 2006, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.
[16] Yingye Zheng,et al. Partly Conditional Survival Models for Longitudinal Data , 2005, Biometrics.
[17] P. Heagerty,et al. Survival Model Predictive Accuracy and ROC Curves , 2005, Biometrics.
[18] M. Pepe,et al. Limitations of the odds ratio in gauging the performance of a diagnostic, prognostic, or screening marker. , 2004, American journal of epidemiology.
[19] Michael W Kattan,et al. Judging new markers by their ability to improve predictive accuracy. , 2003, Journal of the National Cancer Institute.
[20] M. Pepe. The Statistical Evaluation of Medical Tests for Classification and Prediction , 2003 .
[21] Zongwu Cai,et al. Local Linear Estimation for Time-Dependent Coefficients in Cox's Regression Models , 2003 .
[22] T. Lumley,et al. Time‐Dependent ROC Curves for Censored Survival Data and a Diagnostic Marker , 2000, Biometrics.
[23] F. Harrell,et al. Prognostic/Clinical Prediction Models: Multivariable Prognostic Models: Issues in Developing Models, Evaluating Assumptions and Adequacy, and Measuring and Reducing Errors , 2005 .
[24] J. Hanley,et al. The meaning and use of the area under a receiver operating characteristic (ROC) curve. , 1982, Radiology.
[25] John A. Swets,et al. Evaluation of diagnostic systems : methods from signal detection theory , 1982 .
[26] David R. Cox,et al. Regression models and life tables (with discussion , 1972 .
[27] N. Mantel. Evaluation of survival data and two new rank order statistics arising in its consideration. , 1966, Cancer chemotherapy reports.
[28] D. M. Green,et al. Signal detection theory and psychophysics , 1966 .
[29] E. Kaplan,et al. Nonparametric Estimation from Incomplete Observations , 1958 .