Results 41 to 50 of about 373,771 (313)

Spatial-temporal rainfall simulation using generalized linear models

open access: yes, 2005
We consider the problem of simulating sequences of daily rainfall at a network of sites in such a way as to reproduce a variety of properties realistically over a range of spatial scales.
Yang, C   +7 more
core   +1 more source

Deep Sequencing of FLT3‐ITD Enables Response Evaluation and Post‐Treatment Monitoring in Childhood AML: An Exploratory Study

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background An internal tandem duplication in the gene encoding Fms‐like tyrosine kinase 3 (FLT3‐ITD) is associated with high relapse risk and poor prognosis in acute myeloid leukemia (AML) and plays a crucial role in treatment decisions. Measurable residual disease (MRD) analysis of FLT3‐ITD during and after treatment has shown prognostic ...
Sofie Johansson Alm   +11 more
wiley   +1 more source

Time Toxicity in Wilms Tumor: Quantifying the Burden of Healthcare Interaction in the First Year After Diagnosis

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background Wilms tumor (WT) treatment imposes a significant time burden on patients and their families. Time toxicity is a patient‐centered metric that quantifies the burden of healthcare interaction. We sought to define time toxicity in the first year after diagnosis of WT and hypothesized that it would increase as tumor stage and treatment ...
Caleb Q. Ashbrook   +6 more
wiley   +1 more source

Prediction of Gene Expression Patterns With Generalized Linear Regression Model

open access: yesFrontiers in Genetics, 2019
Cell reprogramming has played important roles in medical science, such as tissue repair, organ reconstruction, disease treatment, new drug development, and new species breeding.
Shuai Liu   +6 more
doaj   +1 more source

Sparsifying Generalized Linear Models

open access: yesProceedings of the 56th Annual ACM Symposium on Theory of Computing
We consider the sparsification of sums $F : \mathbb{R}^n \to \mathbb{R}$ where $F(x) = f_1(\langle a_1,x\rangle) + \cdots + f_m(\langle a_m,x\rangle)$ for vectors $a_1,\ldots,a_m \in \mathbb{R}^n$ and functions $f_1,\ldots,f_m : \mathbb{R} \to \mathbb{R}_+$.
Arun Jambulapati   +3 more
openaire   +2 more sources

Linear Models are Most Favorable among Generalized Linear Models [PDF]

open access: yes2020 IEEE International Symposium on Information Theory (ISIT), 2020
To appear in the 2020 IEEE International Symposium on Information ...
Kuan-Yun Lee, Thomas A. Courtade
openaire   +2 more sources

Establishing an Apheresis Medicine Program in a Resource‐Constrained Setting: A 5‐Year Experience From Lagos, Nigeria

open access: yesTherapeutic Apheresis and Dialysis, EarlyView.
ABSTRACT Background Establishing a comprehensive apheresis medicine program in a resource‐constrained setting presents significant structural, financial, and logistical challenges. Despite the growing clinical importance of apheresis services globally, published experience from sub‐Saharan Africa remains sparse.
Folasade Adelekan‐Popoola   +4 more
wiley   +1 more source

A generalized linear model of dynamics of thin elastic shells

open access: yesУчёные записки Казанского университета: Серия Физико-математические науки, 2018
A generalized linear model of the dynamics of a thin elastic shell of constant thickness, which takes into account the rotation and compression of the fiber sheath normal to the middle surface, has been proposed.
E.Yu. Mihajlova   +2 more
doaj  

Cross-Validated Functional Generalized Partially Linear Single-Functional Index Model

open access: yesMathematics
In this paper, we have introduced a functional approach for approximating nonparametric functions and coefficients in the presence of multivariate and functional predictors. By utilizing the Fisher scoring algorithm and the cross-validation technique, we
Mustapha Rachdi   +4 more
doaj   +1 more source

Nonlinear unmixing of hyperspectral images using a generalized bilinear model [PDF]

open access: yes, 2011
Nonlinear models have recently shown interesting properties for spectral unmixing. This paper studies a generalized bilinear model and a hierarchical Bayesian algorithm for unmixing hyperspectral images. The proposed model is a generalization not only of
Altmann, Yoann   +9 more
core   +1 more source

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