نتایج جستجو برای: survival models
تعداد نتایج: 1214086 فیلتر نتایج به سال:
Background & Objectives: Although Cox regression is commonly used to detect relationships between patient survival and demographic/clinical variables, there are situations where parametric models can yield more accurate results. The objective of this study was to compare two survival regression methods, namely Cox regression and parametric models, in patients with gastric carcinoma registered a...
data utilized in this study were 6800 records of lambs’ life longevity, and survival rate from 263 sires and 1839 dams collected from 1989 through 2009, from the lori-bakhtiari flock at shooli station in shahrekord. the data were analyzed, using linear and hazard ratio models along with weibul function. these models included such non genetic factors as year and month of birth, sex of lamb, type...
Introduction: Kidney transplantation is the best treatment for patients with advanced kidney diseases. The aim of this study was to determine the rate of transplanted kidney survival and compare the efficiency of Cox semi-parametric model with the parametric models in determination of survival effective factors. Method: This is a historic cohort study including the information of 381 ESRD pati...
During the early stages of white fish, survival rate is a very effective parameter on future fry’s sustainability, especially when they are going to be released into the natural habitat for restocking. The aim of this study is to define relationships between morphological and functional traits and the survival rate of the European white fish fry (Coregonus lavaretus) when they were fed with di...
Introduction: Breast cancer is one of the most common cancers among women worldwide. Patients with cancer may die due to disease progression or other types of events. These different event types are called competing risks. This study aimed to determine the factors affecting the survival of patients with breast cancer using three different approaches: cause-specific hazards regression, subdistri...
Background and Aim: Gastric cancer is one the most common gastrointestinal tract cancers in Iran, with East-Azerbaijan Province ranking second in the country. The objectives of this research were to determine the feasibility of using cure models in survival analysis and factors affecting short-term and long-term patient survival rates using the mixture cure cox model. Materials and Methods:...
Background: Thalassemia major (TM) is a severe disease and the most common anemia worldwide. The survival time of the disease and its risk factors are of importance for physicians. The present study was conducted to apply the semi-parametric Cox PH model and use parametric proportional hazards (PH) and accelerated failure time (AFT) models to identify the risk factors related to survival of TM ...
cox regression model serves as a statistical method for analyzing the survival data, which requires some options such as hazard proportionality. in recent decades, artificial neural network model has been increasingly applied to predict survival data. this research was conducted to compare cox regression and artificial neural network models in prediction of kidney transplant survival. the prese...
Background and Aim: In many medical studies along with longitudinal data, which are repeatedly measured during a certain time period, survival data are also recorded. In these situations, using models such as, mixed effects models or GEE method for longitudinal data and Cox model for survival data, are not appropriate because some necessary assumptions are not met. Instead, the joint models hav...
Background and Aim: This study aimed to analyze the factors affecting time and experience of relapse in the patients with Hodgkin's lymphoma, using cure fraction. Material and Methods: This retrospective study included all the patients diagnosed as Hodgkin's lymphoma in the Center for oncology and hematology in Shafa Hospital in Ahwaz City from 2002 to 2012. We used survival analysis and cure f...
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