Results 1 to 10 of about 537,274 (264)
Ten-year predictors of major adverse cardiovascular events in patients without angina
South African Family Practice, 2023 Background: Longstanding cardiovascular risk factors cause major adverse cardiovascular events (MACE). Major adverse cardiovascular events prediction may improve outcomes. The aim was to evaluate the ten-year predictors of MACE in patients without angina.
Preesha Premsagar +2 more
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IEEE Access, 2023 In contemporary research, high-dimensional data has become more popular in many scientific fields with the rapid advancement of technology in collecting and storing large datasets.
Nuriye Sancar +3 more
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Model Uncertainty Quantification in Cox Regression
Biometrics, 2023 Abstract We consider covariate selection and the ensuing model uncertainty aspects in the context of Cox regression. The perspective we take is probabilistic, and we handle it within a Bayesian framework. One of the critical elements in variable/model selection is choosing a suitable prior for model parameters.
Gonzalo García-Donato +2 more
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Review of statistical methods for survival analysis using genomic data [PDF]
Genomics & Informatics, 2019 Survival analysis mainly deals with the time to event, including death, onset of disease, and bankruptcy. The common characteristic of survival analysis is that it contains “censored” data, in which the time to event cannot be completely observed, but ...
Seungyeoun Lee, Heeju Lim
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Metalworking fluids and cancer mortality in a US autoworker cohort (1941–2015)
Scandinavian Journal of Work, Environment & Health, 2020 OBJECTIVES: This report describes the extended follow-up (1941–2015) of a cohort of 38 549 automobile manufacturing workers with potential exposure to metalworking fluids (MWF).
Sadie Costello +4 more
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Machine Learning Predictive Models for Survival in Patients with Brain Stroke [PDF]
Health Promotion PerspectivesBackground: This study aims to harness the predictive power of machine learning (ML) algorithms for accurately predicting mortality and survival outcomes in brain stroke (BS) patients.
Solmaz Norouzi +6 more
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On Cox proportional hazards model performance under different sampling schemes.
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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Journal of Multivariate Analysis, 2014 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Shoubhik Mondal, Sundarraman Subramanian
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Validation of a Cox prognostic model for tooth autotransplantation
Clinical and Experimental Dental Research, 2023 Objectives This study aimed to validate our Cox proportional hazards prognostic model for autotransplantation of teeth with complete root formation using prognostic index (PI) and determine whether the prognosis can be predicted. Patients and Methods The
Toshiya Yoshino +6 more
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Dr. Sulaiman Al Habib Medical Journal, 2021 Under-five mortality is a substantial indicator of children's health, well-being, and consequently, socioeconomic development of a country. The primary focus of this study was to estimate the prevalence and identify the factors associated with under-5 ...
Ashis Talukder +4 more
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