Results 81 to 90 of about 13,377,413 (367)

Prognostic Impact of Treatment Modalities, Including Targeted Compartmental Radio‐Immunotherapy, in a Cohort of Neuroblastoma Patients With CNS Metastases at Relapse

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Introduction Neuroblastoma (NB) with central nervous system (CNS) metastases is rare at diagnosis, but occurs more often during relapse/progression. Patients with CNS metastases face a dismal prognosis, with no standardized curative treatment available.
Vicente Santa‐Maria Lopez   +13 more
wiley   +1 more source

Informational selection & natural selection

open access: yesPhysics Procedia, 2010
The Natural Selection Principle plays an important role in Darwinian evolution theory for the world of biology; its success and reasoning power have persuaded many people that there should be a similar principle for social, economic phenomena. After all, the current economy is a much faster evolutionary process. Unlike in the history of evolution where
openaire   +1 more source

Bayesian Robust Inference of Sample Selection Using Selection-t Models

open access: yes, 2014
Heckman selection model is the most popular econometric model in analysis of data with sample selection. However, selection models with Normal errors cannot accommodate heavy tails in the error distribution.
Ding, Peng
core   +1 more source

Psychological Safety Among Interprofessional Pediatric Oncology Teams in Germany: A Nationwide Survey

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background Psychological safety (PS) is essential for teamwork, communication, and patient safety in complex healthcare environments. In pediatric oncology, interprofessional collaboration occurs under high emotional and organizational demands. Low PS may increase stress, burnout, and adverse events.
Alexandros Rahn   +4 more
wiley   +1 more source

Feature Selection with the Boruta Package

open access: yes, 2010
This article describes a R package Boruta, implementing a novel feature selection algorithm for finding emph{all relevant variables}. The algorithm is designed as a wrapper around a Random Forest classification algorithm.
M. Kursa, W. Rudnicki
semanticscholar   +1 more source

Characterizing Parental Concerns About Lasting Impacts of Treatment in Children With B‐Acute Lymphoblastic Leukemia

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background B‐acute lymphoblastic leukemia (B‐ALL) is the most common pediatric cancer, and while most children in high‐resource settings are cured, therapy carries risks for long‐term toxicities. Understanding parents’ concerns about these late effects is essential to guide anticipatory support and inform evolving therapeutic approaches ...
Kellee N. Parker   +7 more
wiley   +1 more source

Evaluating astigmatid mites as alternative diets for Orius laevigatus: Effects on life history parameters

open access: yesBiological Control
Integrated pest management (IPM) in greenhouse cultivation has benefited significantly from the use of predators such as Orius laevigatus. This beneficial insect, a natural enemy of thrips, can feed on pollen, facilitating preventive releases in ...
Amador Rodríguez-Gómez   +4 more
doaj   +1 more source

Health and Safety Executive [PDF]

open access: yes
flammable gas ...
The Selection, Use Of
core  

Clinical Characteristics and Prognostic Risk Factors for Pediatric B‐Cell Lymphoblastic Lymphoma: A Multicenter Retrospective Cohort Study for China Net Childhood Lymphoma

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background B‐cell lymphoblastic lymphoma (B‐LBL) represents a rare variety of non‐Hodgkin lymphoma, with limited research on its biology, progression, and management. Methods A retrospective analysis was performed on the clinical characteristics of 256 patients aged ≤18 years who received treatment under the China Net Childhood Lymphoma (CNCL)‐
Zhijuan Liu   +20 more
wiley   +1 more source

Purposeful selection of variables in logistic regression

open access: yesSource Code for Biology and Medicine, 2008
BackgroundThe main problem in many model-building situations is to choose from a large set of covariates those that should be included in the "best" model.
Z. Bursac   +3 more
semanticscholar   +1 more source

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