Fenchel duality of Cox partial likelihood with an application in survival kernel learning
Sign Up to like & getrecommendations! Published in 2021 at "Artificial intelligence in medicine"
DOI: 10.1016/j.artmed.2021.102077
Abstract: The Cox proportional hazard model is one of the most widely used methods in modeling time-to-event data in the health sciences. Due to the simplicity of the Cox partial likelihood function, many machine learning algorithms… read more here.
Keywords: cox partial; kernel learning; fenchel duality; partial likelihood ... See more keywords
Approximating Partial Likelihood Estimators via Optimal Subsampling
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DOI: 10.1080/10618600.2023.2216261
Abstract: With the growing availability of large-scale biomedical data, it is often time-consuming or infeasible to directly perform traditional statistical analysis with relatively limited computing resources at hand. We propose a fast subsampling method to effectively… read more here.
Keywords: approximating partial; optimal subsampling; partial likelihood; estimator ... See more keywords
Imprinting and Maternal Effect Detection Using Partial Likelihood Based on Discordant Sibpair Data
Sign Up to like & getrecommendations! Published in 2019 at "Statistica Sinica"
DOI: 10.5705/ss.202016.0114
Abstract: Numerous statistical methods have been developed to explore genomic imprinting and maternal effects, which are causes of parent-of-origin patterns in complex human diseases. However, most of them either only model one of these two confounded… read more here.
Keywords: imprinting maternal; likelihood; discordant sibpair; study ... See more keywords