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pro vyhledávání: '"Meixide, Carlos García"'
Data following an interval structure are increasingly prevalent in many scientific applications. In medicine, clinical events are often monitored between two clinical visits, making the exact time of the event unknown and generating outcomes with a r
Externí odkaz:
http://arxiv.org/abs/2408.16381
We introduce a novel estimator for predicting outcomes in the presence of hidden confounding across different distributional settings without relying on regularization or a known causal structure. Our approach is based on parametrizing the dependence
Externí odkaz:
http://arxiv.org/abs/2402.15502
Publikováno v:
Statistical Analysis and Data Mining: The ASA Data Science Journal 17.4 (2024)
Survival analysis is a fundamental area of focus in biomedical research, particularly in the context of personalized medicine. This prominence is due to the increasing prevalence of large and high-dimensional datasets, such as omics and medical image
Externí odkaz:
http://arxiv.org/abs/2206.06885
Akademický článek
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The classical Cox model emerged in 1972 promoting breakthroughs in how patient prognosis is quantified using time-to-event analysis in biomedicine. One of the most useful characteristics of the model for practitioners is the interpretability of the v
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5696b78a2ccc1d82def8c66759ddc236