Zobrazeno 1 - 10
of 11 731
pro vyhledávání: '"penalized"'
Publikováno v:
BMC Genomics, Vol 23, Iss S4, Pp 1-12 (2024)
Abstract Background Aging is a complex, heterogeneous process that has multiple causes. Knowledge on genomic, epigenomic and transcriptomic changes during the aging process shed light on understanding the aging mechanism. A recent breakthrough in bio
Externí odkaz:
https://doaj.org/article/a81fa5e893f049b392e8816e0ff8e74d
Publikováno v:
Revstat Statistical Journal, Vol 22, Iss 3 (2024)
In this paper we discuss estimation and diagnostic procedures in partially varying-coefficient generalized linear models based in the penalized likelihood function. Specifically, we derive a weighted back-fitting algorithm to estimate the model param
Externí odkaz:
https://doaj.org/article/4200b5ac962e4c9e81aed45ad8eca13c
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-13 (2024)
Abstract Gastrointestinal stromal tumors (GISTs) predominantly develop in the stomach. While nomogram offer tremendous therapeutic promise, there is yet no ideal nomogram comparison customized specifically for handling categorical data and model sele
Externí odkaz:
https://doaj.org/article/2190baf05f4f439a8bae016a4a2cce05
Autor:
Narjess Ayati, Lachlan McIntosh, James Buteau, Ramin Alipour, Michal Pudis, Nicholas Daw, Price Jackson, Michael S. Hofman
Publikováno v:
Cancer Imaging, Vol 24, Iss 1, Pp 1-8 (2024)
Abstract Background PSMA PET/CT is a predictive and prognostic biomarker for determining response to [177Lu]Lu-PSMA-617 in patients with metastatic castration resistant prostate cancer (mCRPC). Thresholds defined to date may not be generalizable to n
Externí odkaz:
https://doaj.org/article/b04bf9cbe61641e8b0c83eb5935c6d9f
Autor:
Kellie J. Archer, Han Fu, Krzysztof Mrózek, Deedra Nicolet, Alice S. Mims, Geoffrey L. Uy, Wendy Stock, John C. Byrd, Wolfgang Hiddemann, Jan Braess, Karsten Spiekermann, Klaus H. Metzeler, Tobias Herold, Ann-Kathrin Eisfeld
Publikováno v:
Journal of Hematology & Oncology, Vol 17, Iss 1, Pp 1-5 (2024)
Abstract Patients with cytogenetically normal acute myeloid leukemia (CN-AML) may harbor prognostically relevant gene mutations and thus be categorized into one of the three 2022 European LeukemiaNet (ELN) genetic-risk groups. Nevertheless, there rem
Externí odkaz:
https://doaj.org/article/8f315fed381640c280c37db73db5c758
Publikováno v:
Applied Network Science, Vol 9, Iss 1, Pp 1-31 (2024)
Abstract The analysis of network data has become an increasingly prominent and demanding field across multiple research fields including data science, health, and social sciences, requiring the development of robust models and efficient computational
Externí odkaz:
https://doaj.org/article/b721a0e418f6482f8a009626d88a2509
Publikováno v:
Revstat Statistical Journal, Vol 22, Iss 2 (2024)
Inclusion of nonparametric functions enhances the modeling when accommodating non-linear effects of covariates. Semi-parametric models have been successfully used for describing non-linear structures by means of parametric and nonparametric component
Externí odkaz:
https://doaj.org/article/ebd3cd11aa1c4ae6b61d8c96d4da8aed
Publikováno v:
BMC Bioinformatics, Vol 25, Iss 1, Pp 1-27 (2024)
Abstract Background Genome-wide association studies have successfully identified genetic variants associated with human disease. Various statistical approaches based on penalized and machine learning methods have recently been proposed for disease pr
Externí odkaz:
https://doaj.org/article/cbfe60f1785c402bae0e11d76f409ba7
Autor:
Nathaniel E. Helwig
Publikováno v:
Stats, Vol 7, Iss 1, Pp 34-53 (2024)
Tensor product smoothers are frequently used to include interaction effects in multiple nonparametric regression models. Current implementations of tensor product smoothers either require using approximate penalties, such as those typically used in g
Externí odkaz:
https://doaj.org/article/e2fe652e417749068fa89ab851da362a
Publikováno v:
IEEE Access, Vol 12, Pp 30638-30652 (2024)
The evaluation of time and frequency domain measures of coupling and causality relies on the parametric representation of linear multivariate processes. The study of temporal dependencies among time series is based on the identification of a Vector A
Externí odkaz:
https://doaj.org/article/95869a48c8a64229bc2dcefef5734ddf