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...

We extend the Dahlberg and Wang (Biometrics 2007, 63, 1237-1244) proportional hazards (PH) cure model for the analysis of time-to-event data that is subject to a cure rate with masked event to a setting where the PH assumption does not hold. Assuming an accelerated failure time (AFT) model with unspecified error distribution for the time to the event of interest, we propose rank-based estimatin...

Instrumental Variable Estimation of Treatment Effects for Duration Outcomes In this article we propose and implement an instrumental variable estimation procedure to obtain treatment effects on duration outcomes. The method can handle the typical complications that arise with duration data of time-varying treatment and censoring. The treatment effect we define is in terms of shifting the quanti...

The accelerated failure time (AFT) model is an important regression tool to study the association between survival time and covariates. Semiparametric inference procedures have been proposed extensively in the literature. Recently, Zhou (2005a) proposed to use a model-based empirical likelihood approach to interval estimation for the AFT model. However, comparison was not made with more standar...

Current status data arise commonly in applications when there is only one feasible observation time to check if the failure has occurred, but exact remains unknown. To accommodate covariate effect on time, accelerated (AFT) model been widely used analyze current with distribution of assumed be specified or unspecified. In this paper, we consider a logistic regression misclassfied from scheme. A...

The generalized Topp-Leone-Weibull (GTL-W) distribution is a generalization of Weibull which obtained by using Topp-Leone (GTL) as generator and considering baseline distribution. widely used survival model that has monotone- increasing or decreasing hazard. But it cannot accommodate bathtub shaped unimodal hazards. As model, GTL-W more flexible than the to different types present study aims at...

In 2022, the COVID-19 virus is still making headlines in various mass media because it a that very dangerous to health. The world health organization, WHO, explained caused global pandemic infected whole world. condition of has not yet turned into an endemic. Based on total confirmed positive cases, Indonesia ranks 18th out 222 countries. To determine influence factors survival analysis one tec...

background : gastric cancer is the one of the most prevalent reason of cancer-related death in the world. survival of patients after surgery involves identifying risk factors. there are various models to detect the effect of risk factors on patients’ survival. the present study aims at evaluating these models. methods : data from 330 gastric cancer patients diagnosed at the iran cancer institut...

A unified implementation of parametric proportional hazards (PH) and accelerated failure time (AFT) models for right-censored or intervalcensored and left-truncated data is described. The description here is válid for time-constant covariates, but the necessary modifications for handling time-varying covariates are implemented in eha. Note that only piecewise constant time variation is handled.