Zobrazeno 1 - 10
of 233
pro vyhledávání: '"P. Højsgaard"'
Autor:
Torben Riis Rasmussen, Anja Gouliaev, Erik Jakobsen, Karin Hjorthaug, Lene Unmack Larsen, Peter Meldgaard, Jesper Thygesen, Rana Bibi, Lars B. Møller, Arman Arshad, Birgitte Folkersen, Anette Højsgaard, Zaigham Saghir, Klaus R. Larsen, Jesper Ravn
Publikováno v:
BMC Cancer, Vol 24, Iss 1, Pp 1-11 (2024)
Abstract Introduction This study aimed to evaluate the consistency of lung cancer case assessments across multidisciplinary team (MDT) sites in Denmark. The goal was to appraise the comparability of outcomes between hospitals in a real-world context.
Externí odkaz:
https://doaj.org/article/f0da2178d14641f49b9f1ff78418e02d
The capability of R to do symbolic mathematics is enhanced by the caracas package. This package uses the Python computer algebra library SymPy as a back-end but caracas is tightly integrated in the R environment. This enables the R user with symbolic
Externí odkaz:
http://arxiv.org/abs/2301.13777
Autor:
Chee Woon Lim, Annette Schophuus Jensen, Camilla Margit Marstein, Pernille Steen Bække, Jani Thuraiaiyah, Rebekka Miland Tøndering Lytzen, Christian Jøns, Michael Rahbek Schmidt, Lars Sondergaard, Troels Højsgaard Jørgensen
Publikováno v:
Journal of the American Heart Association: Cardiovascular and Cerebrovascular Disease, Vol 13, Iss 18 (2024)
Background The congenital heart disease (CHD) population is growing and aging. We aim to examine the impact by describing the temporal trend and causes of lifetime hospitalization burden among the CHD population. Methods and Results From the Danish N
Externí odkaz:
https://doaj.org/article/fd54111077ea4468adb899169793528c
Autor:
Helen Dawes, Jesper Lundbye-Jensen, Tobias Sejbaek, Viktoria Papp, Ulrik Dalgas, Finn Sellebjerg, Lars G Hvid, Laurits Taul-Madsen, Jeppe Romme Christensen, Rikke Ratzer, Kristina Bacher Svendsen, Helene Højsgaard Chow
Publikováno v:
BMJ Open, Vol 14, Iss 8 (2024)
Introduction Multiple sclerosis (MS) causes a broad range of symptoms, with physical function being one of the most disabling consequences according to patients themselves. Exercise effectively improves lower extremity physical function. Nonetheless,
Externí odkaz:
https://doaj.org/article/9f41ba5b5dbf4cca938e747885bc466b
We propose Unity Smoothing (US) for handling inconsistencies between a Bayesian network model and new unseen observations. We show that prediction accuracy, using the junction tree algorithm with US is comparable to that of Laplace smoothing. Moreove
Externí odkaz:
http://arxiv.org/abs/2201.08659
Autor:
Højsgaard, Søren, Lauritzen, Steffen
In Gaussian graphical models, the likelihood equations must typically be solved iteratively. We investigate two algorithms: A version of iterative proportional scaling which avoids inversion of large matrices, and an algorithm based on convex duality
Externí odkaz:
http://arxiv.org/abs/2112.10388
Autor:
Sandra Feodor Nilsson, PhD, Thomas Munk Laursen, ProfPhD, Lars Højsgaard Andersen, PhD, Merete Nordentoft, ProfDMSc, Seena Fazel, ProfMD
Publikováno v:
The Lancet Public Health, Vol 9, Iss 6, Pp e376-e385 (2024)
Summary: Background: Homelessness is associated with adverse health and social outcomes. People experiencing homelessness have been found to have a high risk of violent crime victimisation as well as high prevalence of psychiatric disorders. It is po
Externí odkaz:
https://doaj.org/article/d7580326a46f407f83e08b1e13899781
The capability of R to do symbolic mathematics is enhanced by the caracas package. This package uses the Python computer algebra library SymPy as a back-end but caracas is tightly integrated in the R environment, thereby enabling the R user with symb
Externí odkaz:
http://arxiv.org/abs/2104.05292
A graphical model is a multivariate (potentially very high dimensional) probabilistic model, which is formed by combining lower dimensional components. Inference (computation of conditional probabilities) is based on message passing algorithms that u
Externí odkaz:
http://arxiv.org/abs/2103.03647
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