Results 51 to 60 of about 1,808,699 (310)

Design and Missing Data

open access: yesDIID
This curatorial introduction explores the politics of absence in digital knowledge systems, focusing on how design can critically engage with and respond to the condition of ‘missing data’. Absence is understood not as a technical gap but as the product
Paola Pierri, Simona Colitti
doaj   +1 more source

Claudin‐6 Protein Expression in Atypical Teratoid/Rhabdoid Tumors Is Strongly Enriched in the Molecular Subgroup AT/RT‐TYR

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Claudin‐6 has emerged as a promising immunotherapeutic target, yet protein‐level data in atypical teratoid/rhabdoid tumors (AT/RTs) have been inconsistent. We analyzed 36 well‐characterized AT/RT samples and found membranous claudin‐6 protein expression in 58% of cases, with striking enrichment in the molecular subgroup AT/RT‐TYR (100%) and ...
Victoria E. Fincke   +4 more
wiley   +1 more source

Estimation of missing values in aggregate level spatial data

open access: yesClinical Epidemiology and Global Health, 2021
Background: Data can be missing when a survey fails to collect information from certain regions due to feasibility issues, which can impose problems while performing spatial analysis.
Puranik Amitha, V.S. Binu, Biju Seena
doaj   +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

Heterogeneity in the Global Practice of Central Nervous System Staging in Pediatric Acute Lymphoblastic Leukemia

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background Central nervous system (CNS) involvement in childhood acute lymphoblastic leukemia (ALL) is assessed by cell counting and cytomorphology from cerebrospinal fluid (CSF) and is used for treatment stratification worldwide. The ratio of “CNS2” patients in clinical trials ranges from 3% to 40%, with unclear prognostic significance ...
Laura Almási   +14 more
wiley   +1 more source

The Role of Hematopoietic Cell Transplantation in Ataxia‐Telangiectasia

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background Ataxia‐telangiectasia (A‐T) is a DNA repair disorder characterized by neurodegeneration, immunodeficiency, and cancer predisposition. Hematopoietic cell transplantation (HCT) is an established therapy in related disorders such as Fanconi anemia (FA) and Nijmegen breakage syndrome (NBS), but its role in A‐T is unclear.
Laila Alkhouli   +3 more
wiley   +1 more source

DEA with Missing Data: An Interval Data Assignment Approach [PDF]

open access: yesJournal of Optimization in Industrial Engineering, 2015
In the classical data envelopment analysis (DEA) models, inputs and outputs are assumed as known variables, and these models cannot deal with unknown amounts of variables directly. In recent years, there are few researches on handling missing data.
Reza Kazemi Matin, Roza Azizi
doaj  

Increased Risk of Sarcomas in Children With Congenital Anomalies: Findings From the Genetic Overlap Between Anomalies and Cancer in Kids (GOBACK) Registry Linkage Study

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background Pediatric sarcomas are a heterogeneous group of tumors that contribute disproportionately to cancer mortality in children. Although congenital anomalies are among the strongest known risk factors for childhood cancer, the risk of specific sarcoma subtypes among affected individuals has not yet been thoroughly evaluated. Procedure We
Russ Wolters   +17 more
wiley   +1 more source

The Issue of Missing Values in Data Mining

open access: yes, 2008
The essence of data mining is to investigate for pertinent information that may exist in data (often large data sets). The immeasurably large amount of data present in the world, due to the increasing capacity of storage media, manifests the issue of the
Beynon, Malcolm James, Malcolm J. Beynon
core   +1 more source

Missing Data: Current Practice in Football Research and Recommendations for Improvement

open access: yes, 2020
Missing data are often unavoidable. The reason values go missing, along with decisions made of how missing data are handled (deleted or imputed), can have a profound effect on the validity and accuracy of study results.
Nicholas Tierney   +2 more
core   +1 more source

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