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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Vydané v:	Statistics and computing Ročník 34; číslo 6
Hlavný autor:	Chen, Li-Pang
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York Springer US 01.12.2024 Springer Nature B.V
Predmet:	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
On-line prístup:	Získať plný text
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