Broken adaptive ridge method for variable selection in generalized partly linear models with application to the coronary artery disease data. [PDF]
Chan C, Dai X, Chekouo T, Long Q, Lu X.
europepmc +1 more source
Many patients with urothelial cancer do not benefit from treatment with pembrolizumab, while at risk of severe side effects. Changes in the levels of circulating tumor DNA early during treatment, measured by a simple and affordable assay that can be easily implemented in the clinic, can be used as a prognostic tool to identify these patients.
Youssra Salhi +14 more
wiley +1 more source
Variable selection for doubly robust causal inference. [PDF]
Cho E, Yang S.
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The novel styrylquinazolinone‐based molecule W1B effectively suppresses glioblastoma by inhibiting IGF1R and EGFR. In high‐glucose microenvironments driving tumor resistance, W1B acts synergistically with the EGFR inhibitor dacomitinib. This combination safely blocks compensatory survival signaling in zebrafish xenograft models. Showcasing promising in
Patryk Rurka +9 more
wiley +1 more source
VICatMix: variational Bayesian clustering and variable selection for discrete biomedical data. [PDF]
Rao J, Kirk PDW.
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High-Dimensional Variable Selection With Competing Events Using Cooperative Penalized Regression. [PDF]
Burk L, Bender A, Wright MN.
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Social physical activity and sedentary behaviour as key determinants of humour expression and loneliness in older adults: a cross-sectional study using bayesian variable selection approach. [PDF]
Soga K +4 more
europepmc +1 more source
Variable Selection with FDR Control for Noisy Data - An Application to Screening Metabolites that Are Associated with Breast Cancer and Colorectal Cancer. [PDF]
Wang R +7 more
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Variable Selection for Multivariate Failure Time Data via Regularized Sparse-Input Neural Network. [PDF]
Luo B, Halabi S.
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Robust parameter estimation and variable selection in regression models for asymmetric heteroscedastic data. [PDF]
Güney Y, Arslan O.
europepmc +1 more source

