A comparison of landmark methods and time-dependent ROC methods to evaluate the time-varying performance of prognostic markers for survival outcomes

[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 .