Stratified Cox Regression Analysis of Survival under CIMAvax<sup>®</sup>EGF Vaccine
نویسندگان
چکیده
منابع مشابه
Survival Analysis II: Cox Regression
In contrast to the Kaplan-Meier method, Cox proportional hazards regression can provide an effect estimate by quantifying the difference in survival between patient groups and can adjust for confounding effects of other variables. The purpose of this article is to explain the basic concepts of the Cox regression method, and to provide some guidance regarding the presentation of the results. Cop...
متن کاملPrognostic factors of survival of patients with oesophageal cancer under radiotherapy using cox regression model
oesophageal cancer is one of the most fatal cancer in human in spite of high incidence in the north of Iran and poor prognosis,there is not information regarding prognostic factors in this area.this study was conducted to determine prognodtic factors of the survival of patients with oesophageal cancer under radiotherapy.We conducted a descriptive-analytical study using historical cohort that ha...
متن کاملComparison of Artificial Neural Networks and Cox Regression Models in Prediction of Kidney Transplant Survival
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...
متن کاملComparison of Artificial Neural Networks and Cox Regression Models in Prediction of Kidney Transplant Survival
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...
متن کاملIdentification of Factors Affecting Metastatic Gastric Cancer Patients’ Survival Using the Random Survival Forest and Comparison with Cox Regression Model
Background and Objectives: In survival analysis, using the Cox model to determine the effective factors requires the assumptions whose failure of leads to biased results. The aim of this paper was to determine the factors affecting the survival of metastatic gastric cancer patients using the non-parametric method of Randomized Survival Forest (RSF) model and to compare its result with the Cox m...
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 Cancer Therapy
سال: 2013
ISSN: 2151-1934,2151-1942
DOI: 10.4236/jct.2013.48a002