Results 81 to 90 of about 1,285,193 (286)

Venous Thromboembolism in Pediatric Bone Sarcoma Patients: A 10‐Year, Single‐Institution Experience Encompassing the COVID‐19 Pandemic

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Osteosarcoma (OS) and Ewing sarcoma (EWS) are the most common primary bone cancers in children, but acute thrombosis is poorly characterized in this population. Our study evaluated the rates of venous thromboembolism (VTE) and associated risk factors in pediatric patients with bone sarcomas treated over a 10‐year period encompassing
Sarah Kappa, Shou Xu, Mark Zobeck, Sarah E. Sartain, Nino Rainusso, Lisa Wang, Nicole Montgomery, Paige Wheaton, Sarah Whittle   +8 more
wiley   +1 more source

Application of Generalized Linear Models to Data Analysis in Drinking Water Treatment

Revista Colombiana de Estadística, 2005
In drinking water treatment we found appropriate linear models to explain dose and concentration of sulphate, dose of lime, lime application probability and polymer application probability, including as explanatory variables some physical and chemical ...
ZULMA CEPEDA, EDILBERTO CEPEDA C
doaj  

Impact of communities, health, and emotional-related factors on smoking use: comparison of joint modeling of mean and dispersion and Bayes’ hierarchical models on add health survey

BMC Medical Research Methodology, 2017
Background The analysis of correlated binary data is commonly addressed through the use of conditional models with random effects included in the systematic component as opposed to generalized estimating equations (GEE) models that addressed the random ...
Jie Pu, Di Fang, Jeffrey R. Wilson
doaj   +1 more source

Global and local distance-based generalized linear models [PDF]

, 2016
This paper introduces local distance-based generalized linear models. These models extend (weighted) distance-based linear models first to the generalized linear model framework. Then, a nonparametric version of these models is proposed by means of local
Boj, Eva, Caballé, Adrià, Delicado Useros, Pedro Francisco, Esteve, Anna, Fortiana, Josep   +4 more
core   +1 more source

Assessing Cognitive Functioning in Children With Brain Tumors: Interaction of Neighborhood Social Determinants of Health and Neurological Risk

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background This study investigated how neighborhood‐level social determinants of health (SDOH), including redlining and neurological risk, interact to influence cognitive outcomes in children treated for brain tumors (CTBT). Methods A retrospective chart review of 161 CTBT aged 5–17 was conducted.
Alannah R. Srsich, Manali Zope, Peter M. Fantozzi, Cassie N. Kline, Iris Paltin, Matthew C. Hocking   +5 more
wiley   +1 more source

Generalized Linear Rule Models

CoRR, 2019
This paper considers generalized linear models using rule-based features, also referred to as rule ensembles, for regression and probabilistic classification. Rules facilitate model interpretation while also capturing nonlinear dependences and interactions.
Dennis Wei, Sanjeeb Dash, Tian Gao, Oktay Günlük   +3 more
openaire   +3 more sources

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

Pediatric 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, Bea Tornberg, Erik Delsing Malmberg, Henrik Hasle, Kristian Løvvik Juul‐Dam, Lars Palmqvist, Borhan R. Saeed, Giti Shah Barkhordar, Anastasia Soboli, Anna Staffas, Jonas Abrahamsson, Linda Fogelstrand   +11 more
wiley   +1 more source

Causal generalized linear models via Pearson risk invariance

Journal of Causal Inference
Prediction invariance of causal models under heterogeneous settings has been exploited by a number of recent methods for causal discovery, typically focussing on recovering the causal parents of a target variable of interest.
Polinelli Alice, Vinciotti Veronica, Wit Ernst C.   +2 more
doaj   +1 more source

Modeling Multiple Item Context Effects With Generalized Linear Mixed Models

Frontiers in Psychology, 2019
Item context effects refer to the impact of features of a test on an examinee's item responses. These effects cannot be explained by the abilities measured by the test. Investigations typically focus on only a single type of item context effects, such as
Norman Rose, Gabriel Nagy, Benjamin Nagengast, Andreas Frey, Andreas Frey, Michael Becker, Michael Becker   +6 more
doaj   +1 more source

A brief review of supersymmetric non-linear sigma models and generalized complex geometry [PDF]

, 2006
This is a review of the relation between supersymmetric non-linear sigma models and target space geometry. In particular, we report on the derivation of generalized K\"ahler geometry from sigma models with additional spinorial superfields.
Lindström, Ulf
core   +3 more sources