Results 51 to 60 of about 18,112,323 (302)

Default Bayesian model determination methods for generalised linear mixed models

, 2010
In this paper, we consider a default strategy for fully Bayesian model determination for GLMMs. We address the two key issues of default prior specification and computation.
Overstall, Anthony M., Overstall, Antony, Forster, Jonathan, Overstall, Antony M., Forster, Jonathan J.   +4 more
core   +1 more source

Error-Function-Based Penalized Quantile Regression in the Linear Mixed Model

Applied Sciences
We study a novel Doubly penalized ERror Function regularized Quantile Regression (DERF-QR) in this paper. This is a method of variable selection by ERror Function (ERF) regularization in the linear effects model.
Zelin Hang, Xiuli He
doaj   +1 more source

Early Body Mass Index z‐Score Change and Resolution of Severe Malnutrition in Children With Sickle Cell Anemia in a Low‐Income Setting: A Prospective Single‐Arm Extension Study

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Children with sickle cell anemia (SCA) in low‐income settings are at risk of severe malnutrition, but optimal nutritional management has not been established. We evaluated an intensified ready‐to‐use therapeutic food (RUTF) regimen in children with persistent severe malnutrition after initial treatment and assessed whether early ...
Safiya Gambo, Shehu Umar Abdullahi, Hassan Adam Murtala, Halima Kabir, Khadija A. Shamsu, Sari A. Acra, Virginia A. Stallings, Mark Rodeghier, Michael R. DeBaun, Lauren J. Klein   +9 more
wiley   +1 more source

Differential Privacy Applications to Bayesian and Linear Mixed Model Estimation

The Journal of Privacy and Confidentiality, 2013
We consider a particular maximum likelihood estimator (MLE) and a computationally intensive Bayesian method for differentially private estimation of the linear mixed-effects model (LMM) with normal random errors.
John M. Abowd, Matthew J. Schneider, Lars Vilhuber   +2 more
doaj   +1 more source

Bayesian Boosting for Linear Mixed Models

CoRR, 2021
Boosting methods are widely used in statistical learning to deal with high-dimensional data due to their variable selection feature. However, those methods lack straightforward ways to construct estimators for the precision of the parameters such as variance or confidence interval, which can be achieved by conventional statistical methods like Bayesian
Boyao Zhang, Colin Griesbach, Cora Kim, Nadia Müller-Voggel, Elisabeth Bergherr   +4 more
openaire   +3 more sources

Central Nervous System Tumors Among Infants in Canada: A Report From CYP‐C

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Central nervous system (CNS) tumors in infants are rare, pose unique clinical challenges, and lack large‐scale evidence‐based data to guide management. This study seeks to describe CNS tumors in Canadian infants and to compare their outcomes with those of older children.
Samuel Sassine, Hallie Coltin, Sylvia Cheng, Lucie Lafay‐Cousin, Vanan Issai Magimairajan, Craig Erker, Stéphanie Vairy, Lynette Bowes, Adam Fleming, Donna Johnston, Sarah McKillop, Roona Sinha, Julie Bennett, Christina Coleman, Laura Wheaton, Shayna Zelcer, Samuele Renzi, Thai Hoa Tran   +17 more
wiley   +1 more source

A Review of the Linear Sufficiency and Linear Prediction Sufficiency in the Linear Model with New Observations

, 2021
We consider the general linear model y = Xβββ + εεε, denoted as M = {y, Xβββ, V}, supplemented with the new unobservable random vector y∗, coming from y∗ = X∗βββ + εεε∗, where the covariance matrix of y∗ is known as well as the cross-covariance matrix ...
Isotalo, Jarkko, Kala, Radosław, Puntanen, S., Markiewicz, Augustyn, Jarkko Isotalo, Haslett, Stephen, Puntanen, Simo, Radosław Kala, Augustyn Markiewicz, Markiewicz, A., Kala, Radoslaw, Stephen J. Haslett, Haslett, Stephen J., Simo Puntanen   +13 more
core   +1 more source

Admissibility of Continuous Unbiased Estimators in Linear Mixed Models [PDF]

The Egyptian Statistical Journal, 1991
For a given linear function of the fixed effects in the usual mixed linear model, within the class of estimators, a discontinuous unbiased estimator is introduced.
Samia El-arishy
doaj   +1 more source

Continuous Piecewise Linear Approximation of Plant-Based Hydro Production Function for Generation Scheduling Problems

Energies, 2022
An essential challenge in generation scheduling (GS) problems of hydrothermal power systems is the inclusion of adequate modeling of the hydroelectric production function (HPF).
David Lucas dos Santos Abreu, Erlon Cristian Finardi   +1 more
doaj   +1 more source

Social Functioning Within the First Years After Pediatric Brain Tumor Diagnosis and the Relationship With Family Psychosocial Risk

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Survivors of pediatric brain tumors (PBTs) can experience long‐term social difficulties, impacting quality of life. Beyond medical and environmental factors, family psychosocial risk may play a role in social outcomes by shaping the caregiving environment and may provide intervention options.
Renske H. Houben, Marisa H. Huisman, Martha A. Grootenhuis, Femke K. Aarsen, Marita Partanen   +4 more
wiley   +1 more source