Results 31 to 40 of about 2,674,866 (251)
Variable Selection and Model Averaging in Semiparametric Overdispersed Generalized Linear Models
We express the mean and variance terms in a double exponential regression model as additive functions of the predictors and use Bayesian variable selection to determine which predictors enter the model, and whether they enter linearly or flexibly.
Berger J. O. +9 more
core +1 more source
ABSTRACT Objective To evaluate selumetinib exposure using therapeutic drug monitoring (TDM) in pediatric patients with neurofibromatosis type 1 (NF1) and plexiform neurofibromas (PN), assess interpatient pharmacokinetic variability, and explore the relationship between drug exposure, clinical response, and adverse effects.
Janka Kovács +8 more
wiley +1 more source
Background Osteosarcoma is the most prevalent cancer-related bone disease diagnosed in the pediatric age group. The rapid development of metastatic lesions and resistance to chemotherapy remain major mechanisms responsible for the failure of treatments ...
Laura Di Patria +6 more
doaj +1 more source
THE CORRELATES OF YOUTH VIOLENCE: EVIDENCE FROM THE LITERATURE
This review provides a general presentation of the factors that are linked to youth violence. In general, these risk factors can include any of the following: pregnancy and delivery complications, emotion-related disorders, hyperactivity, concentration ...
Alan W. Leschied
doaj +1 more source
Prediction injury of the central nervous system in the neonatal period in preterm newborns
Objective: to develop a system for predicting the probability of developing damage of the central nervoussystem (CNS) in the neonatal period in children who was born prematurely.
E. B. Pavlinova +2 more
doaj +1 more source
Bayesian Conditional Tensor Factorizations for High-Dimensional Classification [PDF]
In many application areas, data are collected on a categorical response and high-dimensional categorical predictors, with the goals being to build a parsimonious model for classification while doing inferences on the important predictors.
Dunson, David B., Yang, Yun
core
ABSTRACT Arteriovenous malformations (AVMs) are rare, high‐flow, vascular anomalies that can occur either sporadically or as part of a genetic syndrome. AVMs can progress with serious morbidity and even mortality if left unchecked. Sirolimus is an mTOR inhibitor that is effective in low‐flow vascular malformations; however, its role in AVMs is unclear.
Will Swansson +3 more
wiley +1 more source
ABSTRACT Objective To evaluate the diagnostic yield and utility of universal paired tumor–normal multigene panel sequencing in newly diagnosed pediatric solid and central nervous system (CNS) tumor patients and to compare the detection of germline pathogenic/likely pathogenic variants (PV/LPVs) against established clinical referral criteria for cancer ...
Natalie Waligorski +9 more
wiley +1 more source
Delete or merge regressors for linear model selection
We consider a problem of linear model selection in the presence of both continuous and categorical predictors. Feasible models consist of subsets of numerical variables and partitions of levels of factors.
Maj-Kańska, Aleksandra +2 more
core +1 more source
ABSTRACT Introduction Pulmonary dysfunction and sleep abnormalities are common in children with sickle cell disease (SCD) and are associated with worse clinical outcomes. Whether spirometry abnormalities are associated with polysomnography (PSG) findings remains unclear.
Ammar Saadoon Alishlash +4 more
wiley +1 more source

