Predictive Accuracy and Explained Variation in Cox Regression

From MaRDI portal
Publication:4668409

DOI10.1111/j.0006-341X.2000.00249.xzbMath1060.62663OpenAlexW2023996790WikidataQ73717782 ScholiaQ73717782MaRDI QIDQ4668409

Michael Schemper, Robin Henderson

Publication date: 19 April 2005

Published in: Biometrics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1111/j.0006-341x.2000.00249.x



Related Items

Validation of prognostic indices using the frailty model, Explained variation for recurrent event data, Choice of Prognostic Estimators in Joint Models by Estimating Differences of Expected Conditional Kullback-Leibler Risks, The Identification of Potential Longitudinal Biomarkers and Measurements of Effectiveness for Biomarkers as Surrogates in Multivariate Survival Data, Dynamic monitoring of the effects of adherence to medication on survival in heart failure patients: A joint modeling approach exploiting time‐varying covariates, Quantifying the Predictive Performance of Prognostic Models for Censored Survival Data with Time-Dependent Covariates, Extensions of the absolute standardized hazard ratio and connections with measures of explained variation and variable importance, Discrimination measures for survival outcomes: Connection between the AUC and the predictiveness curve, Measures of prediction error for survival data with longitudinal covariates, Development and validation of a dynamic prognostic tool for prostate cancer recurrence using repeated measures of posttreatment PSA: a joint modeling approach, Partly Conditional Survival Models for Longitudinal Data, Survival Model Predictive Accuracy and ROC Curves, A Robust Alternative to the Schemper-Henderson Estimator of Prediction Error, Asymptotically optimal model selection method with right censored outcomes, The use of Roc for defining the validity of the prognostic index in censored data, Variability explained by covariates in linear mixed-effect models for longitudinal data, Explained variation and predictive accuracy in general parametric statistical models: The role of model misspecification, Time-Dependent Predictive Accuracy in the Presence of Competing Risks, Prediction Accuracy Measures for a Nonlinear Model and for Right-Censored Time-to-Event Data, The Method to Identify a Biomarker and to Evaluate Its Efficiency for Survival by Using the Joint Model of the Accelerate Failure Time and Longitudinal Data, Prediction accuracy measures for time-to-event models with left-truncated and right-censored data, A Measure of Explained Variation for Event History Data, Dynamic Predictions and Prospective Accuracy in Joint Models for Longitudinal and Time-to-Event Data, Comparison of joint modelling and landmarking approaches for dynamic prediction using bootstrap simulation



Cites Work