Regularization Paths for Cox's Proportional Hazards Model via Coordinate Descent [PDF]
Journal of Statistical Software, 2011 We introduce a pathwise algorithm for the Cox proportional hazards model, regularized by convex combinations of l1 and l2 penalties (elastic net). Our algorithm fits via cyclical coordinate descent, and employs warm starts to find a solution along a ...
Noah Simon +3 more
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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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Limitations of applying the COX proportional hazards model to glioma studies [PDF]
Journal of Translational MedicineJihao Xue +6 more
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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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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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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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A Bayesian approach for analyzing partly interval-censored data under the proportional hazards model. [PDF]
Stat Methods Med Res, 2020 Partly interval-censored time-to-event data often occur in biomedical studies of diseases where periodic medical examinations for symptoms of interest are necessary.
Pan C, Cai B, Wang L.
europepmc +2 more sources
Adjusting for bias introduced by instrumental variable estimation in the Cox Proportional Hazards Model [PDF]
Biostatistics, 2017 Instrumental variable (IV) methods are widely used for estimating average treatment effects in the presence of unmeasured confounders. However, the capability of existing IV procedures, and most notably the two-stage residual inclusion (2SRI) procedure ...
Goodney, Philip P. +4 more
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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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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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