Results 51 to 60 of about 405,072 (267)

Changes in Body Composition in Children and Young People Undergoing Treatment for Acute Lymphoblastic Leukemia: A Systematic Review and Meta‐Analysis

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Ongoing evidence indicates increased risk of sarcopenic obesity among children and young people (CYP) with acute lymphoblastic leukemia (ALL), often beginning early in treatment, persisting into survivorship. This review evaluates current literature on body composition in CYP with ALL during and after treatment.
Lina A. Zahed, Raquel Revuelta Iniesta, Mary Fewtrell, Julie Lanigan, Breeana Gardiner, Graeme O'Connor   +5 more
wiley   +1 more source

Bayesian Estimation of Log-Normal Distribution Under Ranked Set Sampling With Missing Data

IEEE Access, 2021
In this paper, joint Bayesian estimation of two parameters of a log-normal distribution is obtained based on simple random sampling (SRS) and ranked set sampling (RSS) with complete and missing data.
Fengxi Zong, Rubing Li
doaj   +1 more source

Parent‐to‐Child Information Disclosure in Pediatric Oncology

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Despite professional consensus regarding the importance of open communication with pediatric cancer patients about their disease, actual practice patterns of disclosure are understudied. Extant literature suggests a significant proportion of children are not told about their diagnosis/prognosis, which is purported to negatively ...
Rachel A. Kentor, Flora Hoodin, Michelle Byrd, Kristin A. Kullgren, Leah LaLonde, Lauren Benkoske, Patrick Smith, Dawn Carson, Karen MacDonald, Susumu Inoue, Brenda Kitchen, Kate Gowans, Gregory A. Yanik   +12 more
wiley   +1 more source

Half Logistic Inverted Nadarajah–Haghighi Distribution under Ranked Set Sampling with Applications

Mathematics, 2023
In this paper, we present the half logistic inverted Nadarajah–Haghigh (HL-INH) distribution, a novel extension of the inverted Nadarajah–Haghigh (INH) distribution. The probability density function (PDF) for the HL-INH distribution might have a unimodal,
Naif Alotaibi, A. S. Al-Moisheer, Ibrahim Elbatal, Mansour Shrahili, Mohammed Elgarhy, Ehab M. Almetwally   +5 more
doaj   +1 more source

Regression Estimators in Ranked Set, Median Ranked Set and Neoteric Ranked Set Sampling

Pakistan Journal of Statistics and Operation Research, 2018
This paper proposes new regression estimators in median ranked set and neoteric ranked set sampling using one and two auxiliary variables. The proposed estimators have large gain in presicion compared to the classical ranked set sampling (RSS) design. A simulation study is designed to see the performance of suggested estimators. A real data set example
openaire   +2 more sources

Predicting Chronicity in Children and Adolescents With Newly Diagnosed Immune Thrombocytopenia at the Timepoint of Diagnosis Using Machine Learning‐Based Approaches

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Objectives To identify predictors of chronic ITP (cITP) and to develop a model based on several machine learning (ML) methods to estimate the individual risk of chronicity at the timepoint of diagnosis. Methods We analyzed a longitudinal cohort of 944 children enrolled in the Intercontinental Cooperative immune thrombocytopenia (ITP) Study ...
Severin Kasser, Alice Bizeul, Meera Chitlur, Hugo Donato, Jelena Roganovic, Julia E. Vogt, Thomas Kühne   +6 more
wiley   +1 more source

Improving Negative Sampling for Word Representation using Self-embedded Features [PDF]

, 2018
Although the word-popularity based negative sampler has shown superb performance in the skip-gram model, the theoretical motivation behind oversampling popular (non-observed) words as negative samples is still not well understood. In this paper, we start
Baroni Marco, Glorot Xavier, Gutmann Michael, Le Quoc, Levy Omer, Mikolov Tomas, Mnih Andriy, Mnih Andriy, Morin Frederic, Shrivastava Anshumali, Tang Duyu, Tian Fei, Vincent Pascal, Zhou Guangyou   +13 more
core   +2 more sources

A Systematic Review of Evidence on the Clinical Effectiveness of Surveillance Imaging in Children With Medulloblastoma and Ependymoma

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Surveillance imaging aims to detect tumour relapse before symptoms develop, but it's unclear whether earlier detection of relapse leads to better outcomes in children and young people (CYP) with medulloblastoma and ependymoma. This systematic review aims to identify relevant literature to determine the efficacy of surveillance magnetic ...
Lucy Shepherd, Melissa Taylor, Helen Fulbright, Bob Phillips   +3 more
wiley   +1 more source

Reproducibility of mean estimators under ranked set sampling

Franklin Open
In statistical inferences, the estimation of population parameters using information obtained from a sample is an important method. This involves choosing an appropriate sampling method to collect data.
Syed Abdul Rehman, Tahani Coolen-Maturi, Frank P.A. Coolen, Javid Shabbir   +3 more
doaj   +1 more source

From Nonspecific DNA–Protein Encounter Complexes to the Prediction of DNA–Protein Interactions [PDF]

, 2009
©2009 Gao, Skolnick. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are ...
A Sarai, AV Morozov, BW Matthews, BW Matthews, CG Kalodimos, CH Yan, CO Pabo, E Fraenkel, E Katchalski-Katzir, FK Winkler, H Tjong, I Bonnet, IB Kuznetsov, Ilya Vakser, J Gorman, J Skolnick, J Skolnick, JE Donald, Jeffrey Skolnick, JJ Havranek, JS Lamoureux, JS Lamoureux, M Billeter, M Gao, M van Dijk, MJ Sippl, Mu Gao, N Bhardwaj, NC Horton, NM Luscombe, NP Stanford, O Givaty, P Aloy, P Rotkiewicz, PH von Hippel, R Mendez, R Samudrala, RMA Knegtel, S Ahmad, S Jones, SE Halford, SJ Hubbard, TA Robertson, TW Siggers, W Humphrey, WJ Lane, XJ Lu, Y Zhang, Y Zhang, ZJ Liu   +49 more
core   +4 more sources