Zobrazeno 1 - 10
of 4 391
pro vyhledávání: '"van de Wiel, A."'
Cancer prognosis is often based on a set of omics covariates and a set of established clinical covariates such as age and tumor stage. Combining these two sets poses challenges. First, dimension difference: clinical covariates should be favored becau
Externí odkaz:
http://arxiv.org/abs/2411.02396
Machine learning models often face challenges in medical applications due to covariate shifts, where discrepancies between training and target data distributions can decrease predictive accuracy. This paper introduces an adaptation of Classification
Externí odkaz:
http://arxiv.org/abs/2410.20978
Combining data from various sources empowers researchers to explore innovative questions, for example those raised by conducting healthcare monitoring studies. However, the lack of a unique identifier often poses challenges. Record linkage procedures
Externí odkaz:
http://arxiv.org/abs/2407.06835
The regression discontinuity design (RDD) is a quasi-experimental approach used to estimate the causal effects of an intervention assigned based on a cutoff criterion. RDD exploits the idea that close to the cutoff units below and above are similar;
Externí odkaz:
http://arxiv.org/abs/2406.11585
The high dimensional nature of genomics data complicates feature selection, in particular in low sample size studies - not uncommon in clinical prediction settings. It is widely recognized that complementary data on the features, `co-data', may impro
Externí odkaz:
http://arxiv.org/abs/2405.04917
Medical prediction applications often need to deal with small sample sizes compared to the number of covariates. Such data pose problems for prediction and variable selection, especially when the covariate-response relationship is complicated. To add
Externí odkaz:
http://arxiv.org/abs/2311.09997
In clinical and biomedical research, multiple high-dimensional datasets are nowadays routinely collected from omics and imaging devices. Multivariate methods, such as Canonical Correlation Analysis (CCA), integrate two (or more) datasets to discover
Externí odkaz:
http://arxiv.org/abs/2310.02169
Autor:
Tara Muijlwijk, Irene H. Nauta, Anabel van der Lee, Kari J. T. Grünewald, Arjen Brink, Sonja H. Ganzevles, Robert J. Baatenburg de Jong, Lilit Atanesyan, Suvi Savola, Mark A. van de Wiel, Laura A. N. Peferoen, Elisabeth Bloemena, Rieneke van de Ven, C. René Leemans, Jos B. Poell, Ruud H. Brakenhoff
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-18 (2024)
Abstract Cancer is caused by an accumulation of somatic mutations and copy number alterations (CNAs). Besides mutations, these copy number changes are key characteristics of cancer development. Nonetheless, some tumors show hardly any CNAs, a remarka
Externí odkaz:
https://doaj.org/article/225436245a4a4f2badda609a77918405
We address a classical problem in statistics: adding two-way interaction terms to a regression model. As the covariate dimension increases quadratically, we develop an estimator that adapts well to this increase, while providing accurate estimates an
Externí odkaz:
http://arxiv.org/abs/2309.13998
Autor:
H. D. Biesma, T. T. D. Soeratram, H. F. van Essen, J. M. P. Egthuijsen, J. B. Poell, E. van Dijk, E. Meershoek - Klein Kranenbarg, H. H. Hartgrink, C. J. H. van de Velde, M. A. van de Wiel, B. Ylstra, N. C. T. van Grieken
Publikováno v:
BJC Reports, Vol 2, Iss 1, Pp 1-8 (2024)
Abstract Background The Cancer Genome Atlas (TCGA) recognizes four molecular subgroups of gastric cancer: Epstein-Barr virus (EBV) positive, microsatellite instable (MSI), genomically stable (GS), and chromosomal instable (CIN). Since a GS/CIN classi
Externí odkaz:
https://doaj.org/article/b60dce1353ca44c89ccfe80e176badf9