Accelerated failure time models with error-prone response and nonlinear covariates

As a specific application of survival analysis, one of main interests in medical studies aims to analyze the patients’ survival time of a specific cancer. Typically, gene expressions are treated as covariates to characterize the survival time. In the framework of survival analysis, the accelerated f...

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Veröffentlicht in:	Statistics and computing Jg. 34; H. 6
1. Verfasser:	Chen, Li-Pang
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York Springer US 01.12.2024 Springer Nature B.V
Schlagworte:	Algorithms Artificial Intelligence Cancer Computer Science Error analysis Error correction Failure times Nonlinear response Original Paper Probability and Statistics in Computer Science Statistical Theory and Methods Statistics and Computing/Statistics Programs Survival Survival analysis Time measurement Boosting Regression calibration Misclassification Measurement error Cubic spline Variable selection
ISSN:	0960-3174, 1573-1375
Online-Zugang:	Volltext
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