Results 51 to 60 of about 325,195 (256)

Misperception of Body Weight After Childhood Cancer

Pediatric 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, Tomáš Sláma, Eva Haegler‐Laube, Reto D. Kurmann, Gabriela M. Kuster, Christoph Saner, Eva Scheler, Yara Shoman, Christina Schindera   +8 more
wiley   +1 more source

Clinical, Histopathological, and Molecular Characterization of Pediatric MN1::ZNF341‐Associated Cancer

Pediatric Blood &Cancer, EarlyView.
ABSTRACT A lethal round‐cell malignancy with an MN1::ZNF341 fusion has recently been reported in three infants. Here, we describe four further tumors, three in newborns (including monozygotic twins), and one in an adolescent. Detailed clinical, radiological, and histopathological data differentiate these tumors from their main mimics, neuroblastoma and
Thomas R. W. Oliver, Dyanne Rampling, Barbara Walkowiak, Nathaniel D. Anderson, Manas Dave, Henry Lee‐Six, Sadie Baskind, Pooja Balasubramanian, Glenn Anderson, Conor Parks, Toochi Ogbonnah, Emilia R. Robertson, Simon Hannam, Rohan Verma, John C. Achermann, Liina Palm, Neil Sebire, Thomas Jacques, Tom Watson, Carryl Dryden, Karin Straathof, Mette Jorgensen, Olga Slater, Sam Behjati, Sarita Depani, J. Ciaran Hutchinson   +25 more
wiley   +1 more source

Uncertainty components in profile likelihood fits

European Physical Journal C: Particles and Fields
When a measurement of a physical quantity is reported, the total uncertainty is usually decomposed into statistical and systematic uncertainties. This decomposition is not only useful for understanding the contributions to the total uncertainty, but is ...
Andrés Pinto, Zhibo Wu, Fabrice Balli, Nicolas Berger, Maarten Boonekamp, Émilien Chapon, Tatsuo Kawamoto, Bogdan Malaescu   +7 more
doaj   +1 more source

SCYNet: testing supersymmetric models at the LHC with neural networks

European Physical Journal C: Particles and Fields, 2017
SCYNet (SUSY Calculating Yield Net) is a tool for testing supersymmetric models against LHC data. It uses neural network regression for a fast evaluation of the profile likelihood ratio.
Philip Bechtle, Sebastian Belkner, Daniel Dercks, Matthias Hamer, Tim Keller, Michael Krämer, Björn Sarrazin, Jan Schütte-Engel, Jamie Tattersall   +8 more
doaj   +1 more source

Profiles of depressive symptoms and influential factors among people living with HIV in China

BMC Public Health, 2023
Background Depressive symptoms are highly prevalent among people living with HIV (PLWH). We leveraged Latent Profile Analysis (LPA) to identify profiles of depressive symptoms among PLWHs.
Dongfang Wang, Qijian Deng, Huilin Chen, Min Wang, Zhening Liu, Honghong Wang, Xuan Ouyang   +6 more
doaj   +1 more source

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

Pediatric 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, Luiz Claudio Barreto Silva Neto, Fabiano Kenji Haraguchi, Letícia Batista de Azevedo, Marcelo Brenner Nascimento Carlini, Raphael Manhães Pessanha, Mariana Rabello Laignier, Wesley Rocha Grippa, Tania Mara Lopes Bitti Bortolini, Gláucia Zouain‐Figueiredo, Regina Aparecida Garcia de Lima, Liliana Vasquez   +11 more
wiley   +1 more source

Profile Likelihood and Conditionally Parametric Models

The Annals of Statistics, 1992
The authors outline a general approach to estimating the parametric component of a semiparametric model. For the case of a scalar parametric component the method is based on the idea of first estimating a one- dimensional subproblem of the original problem that is least favorable in the sense of \textit{C. Stein} [Proc. Third Berkeley Sympos.
Severini, Thomas A., Wong, Wing Hung
openaire   +3 more sources

Empirical Likelihood for Partial Parameters in ARMA Models with Infinite Variance

Journal of Applied Mathematics, 2014
This paper proposes a profile empirical likelihood for the partial parameters in ARMA(p,q) models with infinite variance. We introduce a smoothed empirical log-likelihood ratio statistic. Also, the paper proves a nonparametric version of Wilks’s theorem.
Jinyu Li, Wei Liang, Shuyuan He
doaj   +1 more source

Natural Killer Cells in Paediatric Soft Tissue Sarcomas: A Systematic Review

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Paediatric soft tissue sarcomas (pSTS) are a rare and heterogeneous group of malignant tumours arising in tissues of mesenchymal origin. The role of natural killer (NK) cells in pSTS remains poorly understood, with evidence fragmented across small preclinical studies and early‐phase clinical trials.
Raya Dean, Lara V. Graham, Christina Putnam, Rosa Gomes Alves Martins, Daniel T. Harding, Tim J. Underwood, Zoë S. Walters, Matthew D. Blunt   +7 more
wiley   +1 more source

The Broad Optimality of Profile Maximum Likelihood

CoRR, 2019
We study three fundamental statistical-learning problems: distribution estimation, property estimation, and property testing. We establish the profile maximum likelihood (PML) estimator as the first unified sample-optimal approach to a wide range of learning tasks.
Yi Hao, Alon Orlitsky
openaire   +3 more sources