Results 41 to 50 of about 6,440,632 (323)

Sickle Cell Disease Is an Inherent Risk for Asthma in a Sibling Comparison Study

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Introduction Sickle cell disease (SCD) and asthma share a complex relationship. Although estimates vary, asthma prevalence in children with SCD is believed to be comparable to or higher than the general population. Determining whether SCD confers an increased risk for asthma remains challenging due to overlapping symptoms and the ...
Suhei C. Zuleta De Bernardis, Okeleji Olayinka, Mariam Z. Quraishi, Lakshmi V. Srivaths, Deborah L. Brown, Neethu M. Menon, Ricardo A. Mosquera, Ashwin P. Patel, James M. Stark, Aravind Yadav   +9 more
wiley   +1 more source

A guidance of model selection for genomic prediction based on linear mixed models for complex traits

Frontiers in Genetics, 2022
Brain imaging outcomes are important for Alzheimer’s disease (AD) detection, and their prediction based on both genetic and demographic risk factors can facilitate the ongoing prevention and treatment of AD.
Jiefang Duan, Jiayu Zhang, Long Liu, Yalu Wen, Yalu Wen   +4 more
doaj   +1 more source

Psychosocial Outcomes in Patients With Endocrine Tumor Syndromes: A Systematic Review

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Introduction The combination of disease manifestations, the familial burden, and varying penetrance of endocrine tumor syndromes (ETSs) is unique. This review aimed to portray and summarize available data on psychosocial outcomes in patients with ETSs and explore gaps and opportunities for future research and care.
Daniël Zwerus, Floortje Strobbe, Annemarie A. Verrijn Stuart, Hanneke M. van Santen, Gerlof D. Valk, Sasja A. Schepers, Rachel S. van Leeuwaarde   +6 more
wiley   +1 more source

Estimation of Beta-Pareto Distribution Based on Several Optimization Methods

Mathematics, 2020
This paper is concerned with the maximum likelihood estimators of the Beta-Pareto distribution introduced in Akinsete et al. (2008), which comes from the mixing of two probability distributions, Beta and Pareto.
Badreddine Boumaraf, Nacira Seddik-Ameur, Vlad Stefan Barbu   +2 more
doaj   +1 more source

A Novel Correction for the Adjusted Box-Pierce Test

Frontiers in Applied Mathematics and Statistics, 2022
The classical Box-Pierce and Ljung-Box tests for auto-correlation of residuals possess severe deviations from nominal type I error rates. Previous studies have attempted to address this issue by either revising existing tests or designing new techniques.
Sidy Danioko, Jianwei Zheng, Kyle Anderson, Alexander Barrett, Cyril S. Rakovski   +4 more
doaj   +1 more source

Selective Sequential Model Selection

, 2015
Many model selection algorithms produce a path of fits specifying a sequence of increasingly complex models. Given such a sequence and the data used to produce them, we consider the problem of choosing the least complex model that is not falsified by the data. Extending the selected-model tests of Fithian et al.
Fithian, William, Taylor, Jonathan, Tibshirani, Robert, Tibshirani, Ryan   +3 more
openaire   +2 more sources

Model selection for spectro-polarimetric inversions

, 2012
Inferring magnetic and thermodynamic information from spectropolarimetric observations relies on the assumption of a parameterized model atmosphere whose parameters are tuned by comparison with observations.
A. Asensio Ramos, Anstee, Asensio Ramos, Asensio Ramos, Asensio Ramos, B. Viticchié, Bellot Rubio, Bishop, Borrero, D. Orozco Suárez, de la Cruz Rodríguez, Domínguez Cerdeña, Everitt, Frutiger, Grossmann-Doerth, H. Socas-Navarro, Harvey, Jeffreys, Lagg, Landi Degl'Innocenti, Landi Degl'Innocenti, Lites, Lites, Lites, M. J. Martínez González, MacKay, Martínez Pillet, Orozco Suárez, Piskunov, R. Manso Sainz, Rees, Semel, Shchukina, Sigwarth, Socas-Navarro, Socas-Navarro, Solanki, Solanki, Solanki, Solanki, Sánchez Almeida, Sánchez Almeida, Sánchez Almeida   +42 more
core   +1 more source

Survival for Children Diagnosed With Wilms Tumour (2012–2022) Registered in the UK and Ireland Improving Population Outcomes for Renal Tumours of Childhood (IMPORT) Study

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background The Improving Population Outcomes for Renal Tumours of childhood (IMPORT) is a prospective clinical observational study capturing detailed demographic and outcome data on children and young people diagnosed with renal tumours in the United Kingdom and the Republic of Ireland.
Naomi Ssenyonga, Angela Lopez‐Cortes, Reem Al‐Saadi, Suzanne Tugnait, Kristina Dzhuma, Catriona Duncan, Gordan Vujanic, Tanzina Chowdhury, Claudia Allemani, Michel P. Coleman, Kathy Pritchard‐Jones, the Children's Cancer and Leukaemia Group (CCLG) Renal Tumour Special Interest Group, Hugh Bishop, Anthony McCarthy, Pamela Kearns, Helen Rees, Amos Burke, Meriel Jenney, Jane Pears, Hamish Wallace, Milind Ronghe, Tanzina Chowdhury, Susan Picton, Emma Ross, Lisa Howell, Bernadette Brennan, Gail Halliday, Richard Grundy, Shaun Wilson, Sucheta Vaidya, Daniel Yeomanson, Jessica Bate, Vesna Pavasovic, Jessica Bate, Sabine Irtan, Jesper Brok, Minou Oostveen, Kristina Dzhuma, Mark Weeks, Richard Williams, Mark Powis, Max Pachl, Bruce Okoye, Naima Smeulders, Gordan Vujanic, Oystein Olsen, Tom Watson, Susan Shelmerdine, Dan Saunders, Angela Lopez-Cortes, Taryn Treger, Tom Jackson, Suzanne Tugnait, Lisa Howell, Tanzina Chowdhury, Sam Behjati, Angela Polanco   +56 more
wiley   +1 more source

Analysis of live weight in Corriedale sheep: a distributional regression approach

Scientia Agricola
Understanding the growth and development of Corriedale sheep is critical to efficient production, as the breed is renowned for its high-quality wool and meat, as well as a variety of by-products.
Momate Emate Ossifo, Luiz Ricardo Nakamura, Ali William Canaza-Cayo, Viviane Costa Silva, Lucas Ferreira Rosa, Daniel Furtado Ferreira   +5 more
doaj   +1 more source

Handwritten Digit Recognition: Hyperparameters-Based Analysis

Applied Sciences, 2020
Neural networks have several useful applications in machine learning. However, benefiting from the neural-network architecture can be tricky in some instances due to the large number of parameters that can influence performance.
Saleh Albahli, Fatimah Alhassan, Waleed Albattah, Rehan Ullah Khan   +3 more
doaj   +1 more source