Estimation of Growth Modulation Index Using Latent Variable and Accelerated Failure Time Model
نویسندگان
چکیده
منابع مشابه
Estimation Methods for Accelerated Failure Time Model
In the literature, a lot of effort has been devoted to develop effective estimation and inference methods for the accelerated failure time (AFT) model for right censored data. In the talk, we will give a review on the recent development on the estimation and inference methods for the AFT model based on the work in [Jin et al., 2003] and [Jin et al., 2004].
متن کاملMonitoring Lognormal Reliability Data in a Two-Stage Process Using Accelerated Failure Time Model
The reliability data is getting used to monitor and improve the quality of products or services. Nowadays, most of products or services are the results of processes with dependent stages referred to as multi-stage process. In these processes, the quality characteristics are affected by the quality characteristics in the previous stages, called as cascade property. In some cases, it is not possi...
متن کاملEfficient Estimation for the Accelerated Failure Time Model
The accelerated failure time model provides a natural formulation of the effects of covariates on potentially censored response variable. The existing semiparametric estimators are computationally intractable and statistically inefficient. In this article we propose an approximate nonparametric maximum likelihood method for the accelerated failure time model with possibly time-dependent covaria...
متن کاملLocal Buckley-james Estimation for Heteroscedastic Accelerated Failure Time Model.
In survival analysis, the accelerated failure time model is a useful alternative to the popular Cox proportional hazards model due to its easy interpretation. Current estimation methods for the accelerated failure time model mostly assume independent and identically distributed random errors, but in many applications the conditional variance of log survival times depend on covariates exhibiting...
متن کاملEstimation in the l1-Regularized Accelerated Failure Time Model
This note variable selection in the semiparametric linear regression model for censored data. Semiparametric linear regression for censored data is a natural extension of the linear model for uncensored data; however, random censoring introduces substantial theoretical and numerical challenges. By now, a number of authors have made significant contributions for estimation and inference in the s...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Journal of Health Informatics and Statistics
سال: 2016
ISSN: 2465-8014,2465-8022
DOI: 10.21032/jhis.2016.41.3.324