Hypertabastic survival model

Author's response to reviews Title: Clinical and multiple gene expression variables in survival analysis of breast cancer: Analysis with the hypertabastic survival model Authors:

Role of Metastasis in Hypertabastic survival Analysis of Breast cancer: Interaction with clinical and Gene expression Variables

This paper analyzes the survival of breast cancer patients, exploring the role of a metastasis variable in combination with clinical and gene expression variables. We use the hypertabastic model in a detailed analysis of 295 breast cancer patients from the Netherlands Cancer Institute given in.1 In comparison to Cox regression the increase in accuracy is complemented by the ability to analyze t...

Survival Analysis for a Breast Cancer Data Set

A survival analysis on a data set of 295 early breast cancer patients is performed in this study. A new proportional hazards model, hypertabastic model was applied in the survival analysis. We assume a proportional hazards model, and select two sets of risk factors for death and metastasis for breast cancer patients respectively by using standard variable selection methods. To evaluate the perf...

Survival of Dialysis Patients Using Random Survival Forest Model in Low-Dimensional Data with Few-Events

Background:Dialysis is a process for eliminating extra uremic fluids of patients with chronic renal failure. The present study aimed to determine the variables that influence the survival of dialysis patients using random survival forest model (RSFM) in low-dimensional data with low events per variable (EPV). Methods:In this historical cohort study, infor...

Identification 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...