Limitations of applying the COX proportional hazards model to glioma studies [PDF]
Jihao Xue +6 more
doaj +4 more sources
Accurate training of the Cox proportional hazards model on vertically-partitioned data while preserving privacy [PDF]
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
Data generation for the Cox proportional hazards model with time-dependent covariates: A method for medical researchers [PDF]
The proliferation of longitudinal studies has increased the importance of statistical methods for time-to-event data that can incorporate time-dependent covariates. The Cox proportional hazards model is one such method that is widely used.
Hendry, David J.
core +2 more sources
Cox proportional hazards model with Bayesian neural network for survival prediction [PDF]
Survival analysis plays a crucial aspect in medical research and other domains where understanding the time-to-events is paramount. In this study, we present a novel approach for estimating survival outcomes that combines Bayesian neural networks with ...
Fojan Faghiri, Akram Kohansal
doaj +2 more sources
Reasons why osteoarthritis predicts mortality: path analysis within a Cox proportional hazards model [PDF]
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
Maximum Likelihood Estimation for Cox Proportional Hazards Model with a Change Hyperplane. [PDF]
Deng Y, Cai J, Zeng D.
europepmc +2 more sources
Relaxing the independent censoring assumption in the Cox proportional hazards model using multiple imputation. [PDF]
The Cox proportional hazards model is frequently used in medical statistics. The standard methods for fitting this model rely on the assumption of independent censoring.
Jackson D +5 more
europepmc +2 more sources
Survival analysis-part 2: Cox proportional hazards model. [PDF]
Deo SV, Deo V, Sundaram V.
europepmc +2 more sources
A flexible alternative to the Cox proportional hazards model for assessing the prognostic accuracy of hospice patient survival. [PDF]
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
Objective To demonstrate the adverse impact of ignoring statistical interactions in regression models used in epidemiologic studies. Study design and setting Based on different scenarios that involved known values for coefficient of the interaction term ...
Kristina P. Vatcheva +3 more
semanticscholar +2 more sources

