Results 61 to 70 of about 2,534,579 (265)

Common pitfalls in statistical analysis: Clinical versus statistical significance

open access: yesPerspectives in Clinical Research, 2015
In clinical research, study results, which are statistically significant are often interpreted as being clinically important. While statistical significance indicates the reliability of the study results, clinical significance reflects its impact on ...
Priya Ranganathan   +2 more
doaj   +1 more source

A Deep-Learning-Based Oil-Well-Testing Stage Interpretation Model Integrating Multi-Feature Extraction Methods

open access: yesEnergies, 2020
The interpretation of well-testing data is a key means of decision-making support for oil and gas field development. However, conventional processing methods have many problems, such as the stochastic nature of the data, feature redundancies, the ...
Xin Feng   +4 more
doaj   +1 more source

The interpretation of complementation data

open access: yesGenetical Research, 1966
The evidence for complementation maps being linear is examined by analysis of all known complementation maps in micro-organisms, and by constructing maps from mutants randomly sampled from amongst those at theleu-2locus inNeurosporawith known complementing properties.
openaire   +2 more sources

ASSIST: Refinement of a Benefits Navigator Intervention Among Low‐Income Pediatric Oncology Families

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background/Objectives Children with cancer living in poverty experience worse survival and quality of life. Interventions connecting low‐income families to benefits (e.g., Supplemental Nutrition Assistance Program [SNAP] improve health outcomes; yet nearly 50% of SNAP‐eligible pediatric oncology families are unenrolled.
Puja J. Umaretiya   +11 more
wiley   +1 more source

Children's cognitive reflection predicts successful interpretations of covariation data

open access: yesFrontiers in Developmental Psychology
IntroductionCognitive reflection is the ability and disposition to reflect on one's own thinking, allowing a person to identify and correct judgments grounded in intuition rather than logic.
Andrew G. Young, Andrew Shtulman
doaj   +1 more source

Misperception of Body Weight After Childhood Cancer

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background Misperception of body weight can negatively impact the weight management efforts of childhood cancer survivors (CCSs). Both being overweight or underweight are associated with chronic health conditions commonly observed in CCS; therefore, accurate weight perception is critical for reducing long‐term health risks.
Fabiën N. Belle   +8 more
wiley   +1 more source

Immunoglobulin Depletion and Recovery Following Blinatumomab in Infants With KMT2A‐Rearranged ALL

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Adding blinatumomab to standard chemotherapy for infants with KMT2A‐rearranged acute B‐cell lymphoblastic leukemia (KMT2A‐r B‐ALL) improves outcomes. Although blinatumomab impairs immunoglobulin G (lgG) production, increasing infection susceptibility, IgG recovery remains poorly understood.
Miguel Vieira Martins   +14 more
wiley   +1 more source

Bridging the Gap in Neuroblastoma Care: Consensus‐Based Statements With Recommendations for Improved Patient and Caregiver Experiences

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Neuroblastoma's complex, heterogeneous biology poses significant diagnostic and therapeutic challenges, often requiring caregivers to absorb complex information and participate in time‐sensitive decisions. However, caregivers often feel unprepared to evaluate options.
Vickie Buenger   +8 more
wiley   +1 more source

Impact of Metastatic Patterns on Survival and Response to Therapy in Neuroblastoma

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background While the presence of metastases in neuroblastoma (NB) is a well‐established prognostic factor, the clinical significance of dissemination patterns and tumour burden and their impact on response and survival remains poorly understood.
Mariona Morell‐Daniel   +15 more
wiley   +1 more source

Common pitfalls in statistical analysis: The perils of multiple testing

open access: yesPerspectives in Clinical Research, 2016
Multiple testing refers to situations where a dataset is subjected to statistical testing multiple times - either at multiple time-points or through multiple subgroups or for multiple end-points. This amplifies the probability of a false-positive finding.
Priya Ranganathan   +2 more
doaj   +1 more source

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