Results 51 to 60 of about 2,001,852 (330)

Financial Burden Associated With Hospitalisation Among Families of Childhood Brain Tumours in Australia

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background Families of children with cancer experience significant financial strain, even with universal healthcare. Indirect costs, such as productivity losses and non‐medical expenses, are rarely included in economic evaluations, and little is known about how effectively financial aid programmes alleviate this burden. Childhood brain tumours
Megumi Lim   +8 more
wiley   +1 more source

Identifying genetically driven clinical phenotypes using linear mixed models

open access: yesNature Communications, 2016
Use of general linear mixed models (GLMMs) in genetic variance analysis can quantify the relative contribution of additive effects from genetic variation on a given trait.
Jonathan D. Mosley   +13 more
doaj   +1 more source

Non-linear Mixed Models in a Dose Response Modelling

open access: yesInPrime, 2019
Study designs in which an outcome is measured more than once from time to time result in longitudinal data. Most of the methodological works have been done in the setting of linear and generalized linear models, where some amount of linearity is retained.
Madona Yunita Wijaya
doaj   +1 more source

Exploring efficient linear mixed models to detect quantitative trait locus-by-environment interactions

open access: yesG3: Genes, Genomes, Genetics, 2021
Genotype-by-environment (G × E) interactions are important for understanding genotype–phenotype relationships. To date, various statistical models have been proposed to account for G × E effects, especially in genomic selection (GS) studies.
Eiji Yamamoto, Hiroshi Matsunaga
doaj   +1 more source

Variational approximation for mixtures of linear mixed models

open access: yes, 2012
Mixtures of linear mixed models (MLMMs) are useful for clustering grouped data and can be estimated by likelihood maximization through the EM algorithm.
Armagan A.   +17 more
core   +2 more sources

Simultaneous Inference in General Parametric Models [PDF]

open access: yes, 2008
Simultaneous inference is a common problem in many areas of application. If multiple null hypotheses are tested simultaneously, the probability of rejecting erroneously at least one of them increases beyond the pre-specified significance level ...
Bates   +29 more
core   +3 more sources

Feasibility and Safety of High‐Dose Proton Re‐Irradiation in Recurrent Pediatric Central Nervous System Tumors: A Single‐Institution Retrospective Study

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Purpose Pediatric central nervous system (CNS) tumors often recur despite multimodality therapy. Although re‐irradiation (re‐RT) has historically been limited by concerns for severe late toxicities, modern techniques have renewed interest in this approach. Proton therapy provides dosimetric advantages that may enable curative re‐treatment with
Jin‐Ho Song   +15 more
wiley   +1 more source

Modeling Multiple Item Context Effects With Generalized Linear Mixed Models

open access: yesFrontiers in Psychology, 2019
Item context effects refer to the impact of features of a test on an examinee's item responses. These effects cannot be explained by the abilities measured by the test. Investigations typically focus on only a single type of item context effects, such as
Norman Rose   +6 more
doaj   +1 more source

Ethnic Differences in the Association Between SOD2 rs4880 and Hepatotoxicity in Pediatric Acute Lymphoblastic Leukemia: A Report From the REDIAL Consortium

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Treatment‐associated hepatotoxicity (TAH) is a common complication of pediatric acute lymphoblastic leukemia (ALL) treatment, but genetic risk factors remain poorly understood. We evaluated the SOD2 rs4880 variant in 544 children with ALL at Texas Children's Hospital. After adjusting for demographic and clinical covariates, the rs4880 C allele
Emily J. Mason   +14 more
wiley   +1 more source

Spatial Autoregressive Modeling on Linear Mixed Models for Dependency Between Regions

open access: yesAceh International Journal of Science and Technology, 2023
This study develops a linear mixed model (LMM) that includes spatial effects between regions with a spatial autoregressive model (SAR model). Between observations (regions) on that LMM are usually assumed to be independent. However, these assumptions are
Timbang Sirait
doaj   +1 more source

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