Results 51 to 60 of about 723,703 (287)

Real‐World Pediatric Blinatumomab Administration: Access to Outpatient Care Delivery and Impact of a Hospital‐Dispensed Model

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Blinatumomab has been shown to be highly effective for patients with pediatric B‐ALL and has recently become standard of care therapy. Due to its past use in the clinical trial setting, there is limited information available about real‐world administration.
Katelyn Oranges   +12 more
wiley   +1 more source

Stochastic Restricted Biased Estimators in misspecified regression model with incomplete prior information

open access: yes, 2018
In this article, the analysis of misspecification was extended to the recently introduced stochastic restricted biased estimators when multicollinearity exists among the explanatory variables.
Kayanan, Manickavasagar   +1 more
core   +2 more sources

Clinical Insights Into Hypercalcemia of Malignancy in Childhood

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Hypercalcemia of malignancy (HCM) is a rare but life‐threatening metabolic emergency in children that occurs in less than 1% of pediatric cancer cases, with a reported incidence ranging from 0.4% to 1.0% across different studies. While it is observed in 10%–20% of adult malignancies, pediatric HCM remains relatively uncommon.
Hüseyin Anıl Korkmaz
wiley   +1 more source

Survival Outcomes and Complications Among Canadian Children With Retinoblastoma: A Population‐Based Report From CYP‐C

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Purpose Retinoblastoma (RB) is the most common pediatric ocular cancer, yet population‐based data on survival and risk factors remain limited. This study aimed to describe survival in a large national RB cohort and identify predictors of death and complications.
Samuel Sassine   +14 more
wiley   +1 more source

RBF Neural Network Fusion Disturbance Estimation for Robust Synchronization of Chaotic Systems

open access: yesMathematics
This paper addresses the problem of complete synchronization of chaotic systems subject to external disturbances and parameter uncertainties, proposing a robust control strategy based on radial basis function (RBF) neural network fusion with a ...
Yuanyuan Mao
doaj   +1 more source

Virtual Estimator for Piecewise Linear Systems Based on Observability Analysis

open access: yesSensors, 2013
This article proposes a virtual sensor for piecewise linear systems based on observability analysis that is in function of a commutation law related with the system’s outpu. This virtual sensor is also known as a state estimator.
Ilse Cervantes   +4 more
doaj   +1 more source

Nonparametric estimation of the local Hurst function of multifractional Gaussian processes

open access: yes, 2012
A new nonparametric estimator of the local Hurst function of a multifractional Gaussian process based on the increment ratio (IR) statistic is defined.
Ayache   +22 more
core   +5 more sources

Personalized Selumetinib Dosing in Pediatric Neurofibromatosis Type 1: Insights From a Pilot Therapeutic Drug Monitoring Study

open access: yesPediatric Blood &Cancer, EarlyView.
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

MetaAnaly: The platform-independent computational tool for meta-analysis in the paradigm of new statistics [PDF]

open access: yesNetwork Biology
Meta-analysis is a statistical method used in systematic review to quantitatively integrate the results of multiple related studies to obtain a pooled result that can represent these studies. Meta-analysis overcomes the limitations of traditional reviews
WenJun Zhang
doaj  

Matrix rank and inertia formulas in the analysis of general linear models

open access: yesOpen Mathematics, 2017
Matrix mathematics provides a powerful tool set for addressing statistical problems, in particular, the theory of matrix ranks and inertias has been developed as effective methodology of simplifying various complicated matrix expressions, and ...
Tian Yongge
doaj   +1 more source

Home - About - Disclaimer - Privacy