Results 51 to 60 of about 324,683 (256)

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

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

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

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

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

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

A SAS Package for Logistic Two-Phase Studies

Journal of Statistical Software, 2014
Two-phase designs, in which for a large study a dichotomous outcome and partial or proxy information on risk factors is available, whereas precise or complete measurements on covariates have been obtained only in a stratified sub-sample, extend the ...
Walter Schill, Dirk Enders, Karsten Drescher   +2 more
doaj   +1 more source

Change in Mental Health and Resilience in Childhood Cancer Survivors After Attending a Person‐Centred State‐of‐the‐Art Late Effects Clinic—on Behalf of the PanCareFollowUp Consortium

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Person‐centred follow‐up care based on evidence‐based clinical practice guidelines and providing individualised information should help to inform and reassure survivors about their medical and psychosocial situation and provide treatment and support where needed.
Gisela Michel, Mieke Rijken, Marietta Kokla, Charlotte Sleurs, Jurgen Lemiere, Line Elmerdahl Frederiksen, Luzius Mader, Cecilia Follin, Sara Oberti, Jeanette Falck Winther, Selina R. van den Oever, Leontien C. M. Kremer, Helena J. H. van der Pal, Peter Spreeuwenberg, Eline Bouwman, Jeroen te Dorsthorst, Samira Essiaf, Elizabeth A. M. (Lieke) Feijen, Hannah Gsell, Riccardo Haupt, Maria van Helvoirt, Rosella P. M. G. Hermens, Lars Hjorth, Tomas Kepak, Katerina Kepakova, Anita Kienesberger, Monica Muraca, Marleen Renard, Carina Schneider, Roderick Skinner, Anne Uyttebroeck, Deveny Vanrusselt, Sabine Verschueren, Jacqueline Loonen, Saskia M. F. Pluijm, Katharina Roser, the PanCareFollowUp consortium   +36 more
wiley   +1 more source

A Note on the Calculation of Adjusted Profile Likelihood

Journal of the Royal Statistical Society Series B: Statistical Methodology, 1993
SUMMARY An adjustment to the profile likelihood examined by Cox and Reid required orthogonalization of the nuisance parameters with respect to the parameter of interest. An approximation to the adjusted profile likelihood not requiring explicit orthogonalization is derived and exemplified.
Cox, D. R., Reid, N.
openaire   +2 more sources