abstract: background and purpose: the survival rate of gastric cancer patients has significantly increased during the last decades because of the advances in this type of cancer treatment. the purpose of the current study was to examine the survival levels of gastric cancer through weibull regression and its affective causes. materials and methods: in this research, the records and personal inf...

In this paper the log-exponentiated-Weibull regression model is modified to allow the possibility that long term survivors are present in the data. The modification leads to a log-exponentiated-Weibull regression model with cure rate, encompassing as special cases the log-exponencial regression and log-Weibull regression models with cure rate typically used to model such data. The models attemp...

In this study, Geographically Weighted Trivariate Weibull Regression (GWTWR) model and parameter estimation procedure are proposed. GWTWR is trivariate Weibull regression model which all of the regression parameters depend on the geographical location, and parameter estimation is done locally at each location in the study area. The location is expressed as a point coordinate in two-dimensional ...

BACKGROUND AND OBJECTIVES The aim of this study is to determine diagnostic factors for Iranian gastric cancer patients and their importance using artificial neural network and Weibull regression models. METHODS This study was a historical cohort study with data gathered from 436 registered gastric cancer patients who underwent surgery between 2002 and 2007 at the Taleghani Hospital (a referra...

The typical experimental procedure for testing stress corrosion cracking initiation involves an interval-censored reliability test. Based on these test results, the parameters of a Weibull distribution, which is a widely accepted crack initiation model, can be estimated using maximum likelihood estimation or median rank regression. However, it is difficult to determine the appropriate number of...

In this paper, we propose the classical and Bayesian regression models for use in conjunction with inverted Weibull (IW) distribution; there are Regression model (IW-Reg) (IW-BReg). proposed models, suggest logarithm identity link functions, while approach, a gamma prior two loss namely zero-one modified general entropy (MGE) functions. To deal outliers apply Huber Tukey’s bisquare (biweight) a...