Zobrazeno 1 - 10
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pro vyhledávání: '"Kent David"'
Cosmic demographics -- the statistical study of populations of astrophysical objects -- has long relied on *multivariate statistics*, providing methods for analyzing data comprising fixed-length vectors of properties of objects, as might be compiled
Externí odkaz:
http://arxiv.org/abs/2408.14466
Autor:
van Leeuwen, Florian D., Steyerberg, Ewout W., van Klaveren, David, Wessler, Ben, Kent, David M., van Zwet, Erik W.
Background: External validations are essential to assess clinical prediction models (CPMs) before deployment. Apart from model misspecification, differences in patient population and other factors influence a model's AUC (c-statistic). We aimed to qu
Externí odkaz:
http://arxiv.org/abs/2406.08628
Autor:
Kent, David
We address the choice of penalty parameter in the Smoothness-Penalized Deconvolution (SPeD) method of estimating a probability density under additive measurement error. Cross-validation gives an unbiased estimate of the risk (for the present sample s
Externí odkaz:
http://arxiv.org/abs/2401.01478
Survey-based measurements of the spectral energy distributions (SEDs) of galaxies have flux density estimates on badly misaligned grids in rest-frame wavelength. The shift to rest frame wavelength also causes estimated SEDs to have differing support.
Externí odkaz:
http://arxiv.org/abs/2310.19340
There is active debate over whether to consider patient race and ethnicity when estimating disease risk. By accounting for race and ethnicity, it is possible to improve the accuracy of risk predictions, but there is concern that their use may encoura
Externí odkaz:
http://arxiv.org/abs/2306.10220
While deep neural networks (DNNs) have achieved impressive classification performance in closed-world learning scenarios, they typically fail to generalize to unseen categories in dynamic open-world environments, in which the number of concepts is un
Externí odkaz:
http://arxiv.org/abs/2206.13720
Autor:
Kent, David, Ruppert, David
This paper addresses the deconvolution problem of estimating a square-integrable probability density from observations contaminated with additive measurement errors having a known density. The estimator begins with a density estimate of the contamina
Externí odkaz:
http://arxiv.org/abs/2205.09800
Autor:
Rekkas, Alexandros, Rijnbeek, Peter R., Kent, David M., Steyerberg, Ewout W., van Klaveren, David
Objective: To compare different risk-based methods for optimal prediction of treatment effects. Methods: We simulated RCT data using diverse assumptions for the average treatment effect, a baseline prognostic index of risk (PI), the shape of its inte
Externí odkaz:
http://arxiv.org/abs/2205.01717
Autor:
Wang, Vivian Hsing-Chun a, ⁎, Li, Yike b, Kent, David T. b, Pagán, José A. c, Arabadjian, Milla a, Divers, Jasmin a, Zhang, Donglan a
Publikováno v:
In Sleep Medicine December 2024 124:42-49
