The RSR method splits the data into training and test sets for multiple times to compare the prediction models. For each random split, the two prediction models ...
Abstract. When making patient-specific prediction, it is important to compare prediction models to evaluate the gain in prediction accuracy for including ...
Two statistical testing methods are proposed, the complete data permutation (CDP) and the permutation cross-validation (PCV) for comparing prediction models ...
Oct 22, 2024 · We propose two statistical testing methods, the complete data permutation (CDP) and the permutation cross-validation (PCV) for comparing ...
Wenyu Jiang, Nathalie C. Moon, Bingshu E. Chen , Dongsheng Tu: Permutation Methods for Comparing the Accuracy of Nested Prediction Models in Survival Analysis.
Sep 10, 2020 · In this article, we discuss the numerical issue and consider six permutation methods for comparing survival time distributions between two groups using RMST in ...
Missing: Accuracy Nested Prediction
First make sure that the two models involve the same amount of overfitting, e.g., had the same number of candidate features. Otherwise they may ...
Missing: Permutation Accuracy
Dec 5, 2024 · In this paper, we address these limitations by proposing a studentized permutation test as well as respective permutation-based confidence ...
Missing: Nested Prediction
May 20, 2020 · In this article, we discuss the numerical issue and consider six permutation methods for comparing survival time distributions between two groups using RMST in ...
Feb 11, 2013 · The aim of this work is to extend the comparison of survival at multiple time points, using the multivariate permutation approach originally introduced by ...
Missing: Accuracy Nested Prediction