Individualized treatment effects with censored data via fully nonparametric Bayesian accelerated failure time models

Failure Process Modeling with Censored Data in Accelerated Life Tests

Manufacturers need to evaluate the reliability of their products in order to increase the customer satisfaction. Proper analysis of reliability also requires an effective study of the failure process of a product, especially its failure time. So, the Failure Process Modeling (FPM) plays a key role in the reliability analysis of the system that has been less focused on. This paper introduces a f...

failure process modeling with censored data in accelerated life tests

manufacturers need to evaluate the reliability of their products in order to increase the customer satisfaction. proper analysis of reliability also requires an effective study of the failure process of a product, especially its failure time. so, the failure process modeling (fpm) plays a key role in the reliability analysis of the system that has been less focused on. this paper introduces a f...

Bayesian Accelerated Failure Time Model with Multivariate Doubly-Interval-Censored Data and Flexible Distributional Assumptions

Nonparametric regression with censored survival time data

The paper deals with a class of nonparametric regression estimates introduced by Beran (1981) to estimate conditional survival functions in the presence of right censoring. Weak convergence results are established for kernel and nearest neighbour estimates of the conditional cumulative hazard and survival functions as well as the quantile and L-type regression functionals.

Nonparametric and Semiparametric Methods for Interval-censored Failure Time Data

Interval-censored failure time data commonly arise in follow-up studies such as clinical trials and epidemiology studies. For their analysis, what interests researcher most includes comparisons of survival functions for different groups and regression analysis. This dissertation, which consists of three parts, consider these problems on two types of interval-censored data by using nonparametric...