Penalized weighted proportional hazards model for robust variable selection and outlier detection. [PDF]
Stat Med, 2022 Luo B, Gao X, Halabi S.
europepmc +1 more source
Analysis of the Relationship Between Type Traits, Inbreeding, and Functional Survival in Jersey Cattle Using a Weibull Proportional Hazards Model [PDF]
, 2003 D.Z. Caraviello +2 more
openalex +1 more source
FEBS Open Bio, EarlyView.In this research, a rat model of asthma was created using OVA, and polydatin served as an intervention. By inhibiting ferroautophagy mediated by NCOA4 and averting ferroptosis, polydatin has been demonstrated to reduce asthma. This work presents new ideas for investigating the mechanism of polydatin's ability to alleviate asthma, in addition to ...
Wei Li +5 more
wiley +1 more source
Prognostic analysis of breast cancer in Xinjiang based on Cox proportional hazards model and two-step cluster method. [PDF]
Front Oncol, 2022 Wu M +5 more
europepmc +1 more source
CSF Biomarker‐Based Cognitive Trajectories in Parkinson's Disease‐Subjective Cognitive Decline
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Cognitive complaints without objective cognitive impairment in Parkinson's Disease, termed Parkinson's Disease‐Subjective Cognitive Decline (PD‐SCD), have been associated with cognitive decline. However, its progression is heterogeneous, highlighting the need for improved identification of patients at greater risk for deterioration ...
Jon Rodriguez‐Antiguedad +7 more
wiley +1 more source
Public Sector Union Growth and Bargaining Laws: A Proportional Hazards Approach with Time-Varying Treatments [PDF]
This study uses a Cox proportional hazards model to estimate ther elationship between state-level collective bargaining policies and union growth in the public sector. The proportional hazards analysisis performed with data on approximately eight hundred
Casey Ichniowski
core
Bootstrap applications in proportional hazards models
, 1993 Thomas M. Loughin
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Comparing alternative models: log vs Cox proportional hazard? [PDF]
, 2003 Anirban Basu +2 more
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Precision‐Optimised Post‐Stroke Prognoses
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Background Current medicine cannot confidently predict who will recover from post‐stroke impairments. Researchers have sought to bridge this gap by treating the post‐stroke prognostic problem as a machine learning problem, reporting prediction error metrics across samples of patients whose outcomes are known.
Thomas M. H. Hope +4 more
wiley +1 more source
Likelihood-Based Estimation of a Proportional-Hazard, Competing- Risk Model with Grouped Duration Data [PDF]
This short paper demonstrates two important results related to the estimation of competing-risk models under the proportional-hazards assumption with grouped duration data.
Mark Yuying An
core