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A class of semi parametric regressions for the accelerated failure time model

Biometrika, 1997
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Accelerated Failure Time Models with Auxiliary Covariates

Journal of Biometrics & Biostatistics, 2012
In this paper we study semi-parametric inference procedure for accelerated failure time models with auxiliary information about a main exposure variable. We use a kernel smoothing method to introduce the auxiliary covariate to the likelihood function. The regression parameters are then estimated through maximization of the estimated likelihood function.
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Accelerated Failure Time Models: A Review

2014
In classical life data analysis, one typically collects failure-time data by operating a set of units under usual (or design) stress conditions. But in reliability engineering, due to a variety of reasons such as cost and time constraints, one often wishes to collect the data more quickly than is allowed under the normal operating conditions.
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Regression analysis of dependent current status data with the accelerated failure time model

Communications in Statistics Part B: Simulation and Computation, 2022
Shishun Zhao, Jianguo Sun
exaly  

Spline‐based accelerated failure time model

Statistics in Medicine, 2021
Menglan Pang   +2 more
exaly  

Pretest and shrinkage estimation strategies in accelerated failure time model

Journal of Statistical Computation and Simulation, 2022
Shakhawat Hossain
exaly  

Regression Analysis of Interval-Censored Data with Informative Observation Times Under the Accelerated Failure Time Model

Journal of Systems Science and Complexity, 2021
Shishun Zhao   +2 more
exaly  

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