Results 1 to 10 of about 209,848 (255)

Prognostic Factors in Patients With Colorectal Cancer at Hospital Universiti Sains Malaysia

Asian Journal of Surgery, 2010
To determine the 5-year survival rate and prognostic factors for survival in patients with colorectal cancer treated at the Surgical Unit, Hospital Universiti Sains Malaysia (HUSM), Kelantan, Malaysia.
Anis Kausar Ghazali, Kamarul Imran Musa, Nyi Nyi Naing, Zainal Mahmood   +3 more
doaj   +1 more source

Analysis of survival-related factors in patients with endometrial cancer using a Bayesian network model.

PLoS ONE
BackgroundIn recent years, remarkable progress has been made in the use of machine learning, especially in analyzing prognosis survival data. Traditional prediction models cannot identify interrelationships between factors, and the predictive accuracy is
Huan Zhang, Shan Zhao, Pengzhong Lv
doaj   +1 more source

A semi-parametric regression model for analysis of middle censored lifetime data

Statistica, 2016
Middle censoring introduced by Jammalamadaka and Mangalam (2003), refers to data arising in situations where the exact lifetime becomes unobservable if it falls within a random censoring interval, otherwise it is observable.
Sreenivasa Rao Jammalamadaka, Sundaresan Nair Prasad, Paduthol Godan Sankaran   +2 more
doaj   +1 more source

Estimation of treatment effects in weighted log-rank tests

Contemporary Clinical Trials Communications, 2017
Non-proportional hazards have been observed in clinical trials. The log-rank test loses power and the standard Cox model generally produces biased estimates under such conditions.
Ray S. Lin, Larry F. León
doaj   +1 more source

Weighted Cox Regression Using the R Package coxphw

Journal of Statistical Software, 2018
Cox's regression model for the analysis of survival data relies on the proportional hazards assumption. However, this assumption is often violated in practice and as a consequence the average relative risk may be under- or overestimated.
Daniela Dunkler, Meinhard Ploner, Michael Schemper, Georg Heinze   +3 more
doaj   +1 more source

Identification of a Specific Gene Module for Predicting Prognosis in Glioblastoma Patients

Frontiers in Oncology, 2019
Introduction: Glioblastoma (GBM) is the most common and malignant variant of intrinsic glial brain tumors. The poor prognosis of GBM has not significantly improved despite the development of innovative diagnostic methods and new therapies.
Xiangjun Tang, Xiangjun Tang, Xiangjun Tang, Pengfei Xu, Bin Wang, Jie Luo, Rui Fu, Kuanming Huang, Longjun Dai, Junti Lu, Gang Cao, Hao Peng, Li Zhang, Zhaohui Zhang, Qianxue Chen   +14 more
doaj   +1 more source

The Two-Way Proportional Hazards Model

Journal of the Royal Statistical Society Series B: Statistical Methodology, 2002
SummarySurvival analysis problems often involve dual timescales, most commonly calendar date and lifetime, the latter being the elapsed time since an initiating event such as a heart transplant. In our main example attention is focused on the hazard rate of ‘death’ as a function of calendar date.
openaire   +2 more sources

Nonparametric Regression in Proportional Hazards Models

JOURNAL OF THE JAPAN STATISTICAL SOCIETY, 2004
Summary: \textit{J. Fan} et al. [Ann. Stat. 25, No. 4, 1661--1690 (1997; Zbl 0890.62023)] considered two kinds of nonparametric estimators of the effects of the covariates in proportional hazards models. One of them has no parametric assumption on the baseline hazard function and is based on the integration of the estimated first order derivative of ...
openaire   +3 more sources

Application of Fractional Polynomial Model for Determining Prognostic Factors Associated with Survival of Patients with Gastric Cancer

مجله اپیدمیولوژی ایران, 2013
Background & Objectives: Cox regression model is one of the statistical methods in survival analysis. The use of smoothing techniques in Cox model makes the more accurate estimates for the parameters.
H Noorkojuri, E Hajizadeh, AR Baghestani, MA Pourhoseingholi   +3 more
doaj  

Identification of glioblastoma gene prognosis modules based on weighted gene co-expression network analysis

BMC Medical Genomics, 2018
Background Glioblastoma multiforme, the most prevalent and aggressive brain tumour, has a poor prognosis. The molecular mechanisms underlying gliomagenesis remain poorly understood.
Pengfei Xu, Jian Yang, Junhui Liu, Xue Yang, Jianming Liao, Fanen Yuan, Yang Xu, Baohui Liu, Qianxue Chen   +8 more
doaj   +1 more source