Limitations of using COX proportional hazards model in cardiovascular research [PDF]
Cardiovascular DiabetologyThe article by Zhao et al. titled “Associations of Triglyceride-Glucose (TyG) Index with Chest Pain Incidence and Mortality among the U.S. Population” provides valuable insights into the positive correlation between the TyG index and chest pain incidence,
Nan Jiang, Yongfa Wu, Chengjia Li
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Survival analysis-part 2: Cox proportional hazards model. [PDF]
Indian J Thorac Cardiovasc Surg, 2021 Learning objectives: 1. To understand the log-rank test and limitations of the log-rank test in comparing survival between groups. 2. To understand the fundamental concepts of the proportional hazards assumption. 3. To understand basic steps in the development of the Cox proportional hazards model and reported hazard ratios. 4.
Deo SV, Deo V, Sundaram V.
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Combining symbolic regression with the Cox proportional hazards model improves prediction of heart failure deaths [PDF]
BMC Medical Informatics and Decision Making, 2022 Background Heart failure is a clinical syndrome characterised by a reduced ability of the heart to pump blood. Patients with heart failure have a high mortality rate, and physicians need reliable prognostic predictions to make informed decisions about ...
Casper Wilstrup, Chris Cave
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On Cox proportional hazards model performance under different sampling schemes. [PDF]
PLoS ONE, 2023 Cox's proportional hazards model (PH) is an acceptable model for survival data analysis. This work investigates PH models' performance under different efficient sampling schemes for analyzing time to event data (survival data). We will compare a modified
Hani Samawi, Lili Yu, JingJing Yin
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Quasi-linear Cox proportional hazards model with cross- L1 penalty [PDF]
BMC Medical Research Methodology, 2020 Background To accurately predict the response to treatment, we need a stable and effective risk score that can be calculated from patient characteristics.
Katsuhiro Omae, Shinto Eguchi
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The Impact of Violation of the Proportional Hazards Assumption on the Calibration of the Cox Proportional Hazards Model [PDF]
Epidemiology, Biostatistics and Public HealthINTRODUCTION The Cox proportional hazards regression model is frequently used to develop clinical prediction models for time-to-event outcomes, allowing clinicians to estimate an individual’s risk of experiencing the outcome within specified time ...
Peter Austin, Daniele Giardiello
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Cox proportional hazards model with Bayesian neural network for survival prediction [PDF]
Scientific ReportsSurvival 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
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Verticox+: vertically distributed Cox proportional hazards model with improved privacy guarantees [PDF]
Complex & Intelligent SystemsFederated learning allows us to run machine learning algorithms on decentralized data when data sharing is not permitted due to privacy concerns. Various models have been adapted to use in a federated setting.
Florian van Daalen +4 more
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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
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Generating Survival Times to Simulate Cox Proportional Hazards Models [PDF]
Statistics in Medicine, 2003 This paper discusses techniques to generate survival times for simulation studies regarding Cox proportional hazards models. In linear regression models, the response variable is directly connected with the considered covariates, the regression ...
Augustin, Thomas +2 more
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