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
Accurate training of the Cox proportional hazards model on vertically-partitioned data while preserving privacy [PDF]
BMC Medical Informatics and Decision Making, 2022 Background Analysing distributed medical data is challenging because of data sensitivity and various regulations to access and combine data. Some privacy-preserving methods are known for analyzing horizontally-partitioned data, where different ...
Bart Kamphorst +4 more
doaj +2 more sources
Proportional hazards models with discrete frailty [PDF]
Lifetime Data Analysis, 2010 We extend proportional hazards frailty models for lifetime data to allow a negative binomial, Poisson, Geometric or other discrete distribution of the frailty variable. This might represent, for example, the unknown number of flaws in an item under test.
C. Caroni, Martin Crowder, Alan Kimber
openalex +5 more sources
A flexible alternative to the Cox proportional hazards model for assessing the prognostic accuracy of hospice patient survival. [PDF]
PLoS ONE, 2012 Prognostic models are often used to estimate the length of patient survival. The Cox proportional hazards model has traditionally been applied to assess the accuracy of prognostic models.
Branko Miladinovic +5 more
doaj +2 more sources
Reasons why osteoarthritis predicts mortality: path analysis within a Cox proportional hazards model [PDF]
RMD Open, 2019 Objectives To identify potentially modifiable factors that mediate the association between symptomatic osteoarthritis (OA) and premature mortality.Methods A population-based prospective cohort study; primary care medical record data were linked to self ...
George Peat +7 more
doaj +2 more sources
Causal Interactions in the Proportional Hazards Model [PDF]
Epidemiology, 2011 The paper relates estimation and testing for additive interaction in proportional hazards models to causal interactions within the counterfactual framework. A definition of a causal interaction for time-to-event outcomes is given that generalizes existing definitions for dichotomous outcomes. Conditions are given concerning the relative excess risk due
Tyler J. VanderWeele
openalex +4 more sources
Elastic net for Cox’s proportional hazards model with a solution path algorithm [PDF]
Statistica sinica, 2011 For least squares regression, Efron et al. (2004) proposed an efficient solution path algorithm, the least angle regression (LAR). They showed that a slight modification of the LAR leads to the whole LASSO solution path.
Yichao Wu
openalex +2 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
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
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