Results 41 to 50 of about 2,080 (215)

Inpatient Exposure, Confidence, and Knowledge in Pediatric Hematology/Oncology: Evaluating General Pediatric Residents During 2025 ACGME Curriculum Change

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background General pediatricians often evaluate hematologic and oncologic presentations before subspecialty consultation, yet the 2025 Accreditation Council for Graduate Medical Education (ACGME) pediatric requirements reduce inpatient pediatric hematology/oncology (PHO) time, raising questions about resident readiness.
Colburn Yu, Rohini Jain
wiley   +1 more source

Sociodemographic Factors Associated With Later Stage at Diagnosis of Pediatric Germ Cell Tumors: A Report From Children's Oncology Group Registries ACCRN07 and APEC14B1

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background Germ cell tumors (GCTs) often arise in the ovaries and testes (extracranial) but can also develop in the brain (intracranial). We examined the relationship of individual, family, and community‐level socioeconomic status (SES) with stage of disease at diagnosis in a cohort of pediatric patients with GCT from Children's Oncology Group
Heydon K. Kaddas   +7 more
wiley   +1 more source

Efficient Estimation in the Errors in Variables Model

open access: yesThe Annals of Statistics, 1987
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Bickel, P. J., Ritov, Y.
openaire   +3 more sources

Phase Angle as an Early Functional Biomarker of Cancer‐Related Fatigue in Pediatric Oncology: A Prospective Longitudinal Study

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background Pediatric cancer remains a leading cause of morbidity and mortality worldwide, particularly in low‐and middle‐income countries. Cancer treatment may impair nutritional status, alter body composition, and exacerbate cancer‐related fatigue (CRF).
Luís Carlos Lopes‐Junior   +11 more
wiley   +1 more source

Accuracy gains from conservative forecasting: Tests using variations of 19 econometric models to predict 154 elections in 10 countries. [PDF]

open access: yesPLoS ONE, 2019
PROBLEM:Do conservative econometric models that comply with the Golden Rule of Forecasting provide more accurate forecasts? METHODS:To test the effects of forecast accuracy, we applied three evidence-based guidelines to 19 published regression models ...
Andreas Graefe   +2 more
doaj   +1 more source

On Hierarchical Composite Endpoints in Pediatric Cancer Supportive Care: Illustrative Examples From Two Multi‐Center Phase‐III Randomized Clinical Trials

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Pediatric supportive care clinical trials often involve multiple clinically important outcomes, complicating trial interpretation. Hierarchical composite endpoints (HCEs) provide a framework to integrate key outcomes according to clinical importance.
Willem H. Collier   +11 more
wiley   +1 more source

Incorporating remote sensing measurement error for forest inventory

open access: yesBig Earth Data
Remotely sensed data are increasingly used with model-based inference to estimate forest population characteristics (e.g., areal means). However, at-sensor radiance affected by measurement errors has inherent variations over time, space and spectrum ...
Qing Xu   +3 more
doaj   +1 more source

Can Pre-Storm Errors in the Low-Level Inflow Help Predict Spatial Displacement Errors in MCS Initiation?

open access: yesAtmosphere, 2020
The Great Plains low-level jet (LLJ) is a contributing factor to the initiation and evolution of nocturnal Mesoscale Convective Systems (MCSs) in the central United States by supplying moisture, warm air advection, and a source of convergence.
Nicholas J. Vertz   +2 more
doaj   +1 more source

Model-Robust Estimation of Multiple-Group Structural Equation Models

open access: yesAlgorithms, 2023
Structural equation models (SEM) are widely used in the social sciences. They model the relationships between latent variables in structural models, while defining the latent variables by observed variables in measurement models.
Alexander Robitzsch
doaj   +1 more source

Hypothesis testing in an errors‐in‐variables model with heteroscedastic measurement errors

open access: yesStatistics in Medicine, 2008
AbstractIn many epidemiological studies it is common to resort to regression models relating incidence of a disease and its risk factors. The main goal of this paper is to consider inference on such models with error‐prone observations and variances of the measurement errors changing across observations.
de Castro, Mario   +2 more
openaire   +4 more sources

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