Moving beyond the Cox proportional hazards model in survival data analysis: a cervical cancer study [PDF]
BMJ Open, 2020 Objectives This study explored the prognostic factors and developed a prediction model for Chinese-American (CA) cervical cancer (CC) patients. We compared two alternative models (the restricted mean survival time (RMST) model and the proportional ...
Lixian Li +3 more
doaj +2 more sources
A novel 14-gene signature for overall survival in lung adenocarcinoma based on the Bayesian hierarchical Cox proportional hazards model [PDF]
Scientific Reports, 2022 There have been few investigations of cancer prognosis models based on Bayesian hierarchical models. In this study, we used a novel Bayesian method to screen mRNAs and estimate the effects of mRNAs on the prognosis of patients with lung adenocarcinoma ...
Na Sun +5 more
doaj +2 more sources
Fitting the Cox proportional hazards model to big data. [PDF]
BiometricsAbstractThe semiparametric Cox proportional hazards model, together with the partial likelihood principle, has been widely used to study the effects of potentially time-dependent covariates on a possibly censored event time. We propose a computationally efficient method for fitting the Cox model to big data involving millions of study subjects ...
Wang J, Zeng D, Lin DY.
europepmc +3 more sources
On model specification and selection of the Cox proportional hazards model. [PDF]
Stat Med, 2013 Prognosis plays a pivotal role in patient management and trial design. A useful prognostic model should correctly identify important risk factors and estimate their effects. In this article, we discuss several challenges in selecting prognostic factors and estimating their effects using the Cox proportional hazards model.
Lin CY, Halabi S.
europepmc +5 more sources
Generating survival times to simulate Cox proportional hazards models [PDF]
Statistics in Medicine, 2005 Abstract Simulation studies present an important statistical tool to investigate the performance, properties and adequacy of statistical models in pre‐specified situations. One of the most important statistical models in medical research is the proportional hazards model of Cox. In this paper, techniques to generate survival times for
Ralf Bender, Thomas Augustin
exaly +4 more sources
Survival analysis-part 2: Cox proportional hazards model. [PDF]
Indian J Thorac Cardiovasc Surg, 2021 Deo SV, Deo V, Sundaram V.
europepmc +2 more sources
Journal of Manufacturing and Materials Processing, 2020 The machining industry raises an ever-growing concern for the significant cost of cutting tools in the production process of mechanical parts, with a focus on the replacement policy of these inserts.
Lucas Equeter +4 more
doaj +3 more sources
Limitations of applying the COX proportional hazards model to glioma studies [PDF]
Journal of Translational MedicineJihao Xue +6 more
doaj +2 more sources
Using Wavelet Shrinkage in the Cox Proportional Hazards Regression model (simulation study) [PDF]
المجلة العراقية للعلوم الاحصائية, 2022 The proposed method in this paper dealt with the problem of data contamination in the Cox Proportional Hazards Regression model (CPHRM) by using Wavelet Shrinkage to de-noise data, calculating the discrete wavelet transformation coefficients for wavelets
taha ali, Jwana Rostam Qadir
doaj +1 more source
Does the Tax Cuts Policy Lower Firm Survival Risk? Evidence from China [PDF]
E3S Web of Conferences, 2023 This paper examines the effect of tax cuts policy on firm survival risk. We analyze a panel data of China’s listed companies over the period 20082021 based on two different techniques: Kaplan-Meier survival estimator and the Cox proportional hazards ...
Wang Hong +3 more
doaj +1 more source