Results 41 to 50 of about 2,001,852 (330)

The Discrete Dantzig Selector: Estimating Sparse Linear Models via Mixed Integer Linear Optimization

, 2017
We propose a novel high-dimensional linear regression estimator: the Discrete Dantzig Selector, which minimizes the number of nonzero regression coefficients subject to a budget on the maximal absolute correlation between the features and residuals ...
Mazumder, Rahul, Radchenko, Peter
core   +1 more source

Clustering in linear mixed models with Dirichlet process mixtures using EM algorithm [PDF]

, 2011
In linear mixed models the assumption of normally distributed random effects is often inappropriate and unnecessary restrictive. The proposed Dirichlet process mixture assumes a hierarchical Gaussian mixture.
Heinzl, Felix, Tutz, Gerhard
core   +1 more source

Residual Analysis for Linear Mixed Models [PDF]

Biometrical Journal, 2007
AbstractResiduals are frequently used to evaluate the validity of the assumptions of statistical models and may also be employed as tools for model selection. For standard (normal) linear models, for example, residuals are used to verify homoscedasticity, linearity of effects, presence of outliers, normality and independence of the errors. Similar uses
Juvêncio Santos, Nobre, Julio, da Motta Singer   +1 more
openaire   +2 more sources

Preferences of Pediatric Patients and Their Caregivers for Chemotherapy‐Induced Nausea and Vomiting Control Endpoints: A Mixed Methods Study

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Purpose Although not always achieved, complete chemotherapy‐induced nausea and vomiting (CINV) control is the conventional goal of CINV prophylaxis. In this two‐center, mixed‐methods study, we sought to understand the preferences of adolescent patients and family caregivers for CINV control endpoints.
Haley Newman, Tadi Hondonga, Alison Berry, Caitlin Elgarten, Jason Freedman, Katelyn Oranges, Sara McDonough, Caroline Diorio, L. Lee Dupuis   +8 more
wiley   +1 more source

D-optimal designs formulti-response linear mixed models [PDF]

, 2018
Linear mixed models have become popular in many statistical applications duringrecent years. However design issues for multi-response linear mixed models are rarelydiscussed.
Liu, Xin, Wong, Weng Kee, Yue, Rong-Xian
core  

Pulmonary Dysfunction Is Associated With Sleep Study Abnormalities in Children With Sickle Cell Disease: A Multicenter Study

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Introduction Pulmonary dysfunction and sleep abnormalities are common in children with sickle cell disease (SCD) and are associated with worse clinical outcomes. Whether spirometry abnormalities are associated with polysomnography (PSG) findings remains unclear.
Ammar Saadoon Alishlash, Anis Rabbani Nourani, A. K. M. Fazlur Rahman, Dima Ezmigna, Tarig Ali‐Dinar   +4 more
wiley   +1 more source

Functional Linear Mixed Models for Irregularly or Sparsely Sampled Data [PDF]

, 2015
We propose an estimation approach to analyse correlated functional data which are observed on unequal grids or even sparsely. The model we use is a functional linear mixed model, a functional analogue of the linear mixed model.
Cederbaum, Jona, Greven, Sonja, Hoole, Phil, Pouplier, Marianne   +3 more
core   +2 more sources

Prevalence and Trajectory of Household Material Hardship Among Children With Advanced Cancer

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background/Objectives Families of children with advanced cancer living in poverty experience inferior outcomes including poor parent mental health and worse child quality of life. Household material hardship (HMH: food, housing, transportation, and/or utility insecurity) is a modifiable poverty exposure—and potential intervention target—that ...
Sarah Wright, Morgan A. Paul, Selena Murcia Mendez, Emily Jones, Lucille Lokko, Chelsea Heneghan, Nicholas Purol, Morgan Arnold, Rahela Aziz‐Bose, Colleen A. Kelly, Sandi L. Pruitt, Joanne Wolfe, Kira Bona, Puja J. Umaretiya   +13 more
wiley   +1 more source

mplot: An R Package for Graphical Model Stability and Variable Selection Procedures

Journal of Statistical Software, 2018
The mplot package provides an easy to use implementation of model stability and variable inclusion plots (Müller and Welsh 2010; Murray, Heritier, and Müller 2013) as well as the adaptive fence (Jiang, Rao, Gu, and Nguyen 2008; Jiang, Nguyen, and Rao ...
Garth Tarr, Samuel Müller, Alan H. Welsh   +2 more
doaj   +1 more source

lmerSeq: an R package for analyzing transformed RNA-Seq data with linear mixed effects models

BMC Bioinformatics, 2022
Background Studies that utilize RNA Sequencing (RNA-Seq) in conjunction with designs that introduce dependence between observations (e.g. longitudinal sampling) require specialized analysis tools to accommodate this additional complexity.
Brian E. Vestal, Elizabeth Wynn, Camille M. Moore   +2 more
doaj   +1 more source