Results 51 to 60 of about 595,073 (274)
Pediatric 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
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background This study investigated how neighborhood‐level social determinants of health (SDOH), including redlining and neurological risk, interact to influence cognitive outcomes in children treated for brain tumors (CTBT). Methods A retrospective chart review of 161 CTBT aged 5–17 was conducted.
Alannah R. Srsich +5 more
wiley +1 more source
Frontiers in NeurologyBackgroundParkinson’s disease (PD) is a common chronic degenerative disease, and its exact pathological mechanism remains unclear. In this study, we identified covariates associated with the clinical outcomes of PD using patient data from the Medical ...
LiHua Luo +6 more
doaj +1 more source
Stats, 2022 Paired outcomes are common in correlated clustered data where the main aim is to compare the distributions of the outcomes in a pair. In such clustered paired data, informative cluster sizes can occur when the number of pairs in a cluster (i.e., a ...
Sandipan Dutta
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Modeling Covariate Effects in Group Independent Component Analysis with Applications to Functional Magnetic Resonance Imaging [PDF]
, 2015 Independent component analysis (ICA) is a powerful computational tool for separating independent source signals from their linear mixtures. ICA has been widely applied in neuroimaging studies to identify and characterize underlying brain functional ...
Guo, Ying, Shi, Ran
core
Data-driven Algorithms for Dimension Reduction in Causal Inference
, 2016 In observational studies, the causal effect of a treatment may be confounded with variables that are related to both the treatment and the outcome of interest.
de Luna, Xavier +3 more
core +1 more source
Theoretical Computer Science, 1997 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire +1 more source
PLoS Genetics, 2012 An important step in analyzing genetic association study data is deciding whether to adjust for covariates—those variables ancillary to the variants of interest. In particular, when testing for novel associations, should the statistical model also include known genetic or nongenetic covariates that are predictors of the trait (e.g., body mass index ...
Joel Mefford, John S Witte
openaire +4 more sources
Molecular Oncology, EarlyView.Meta‐transcriptome analysis identified FGF19 as a peptide enteroendocrine hormone associated with colorectal cancer prognosis. In vivo xenograft models showed release of FGF19 into the blood at levels that correlated with tumor volumes. Tumoral‐FGF19 altered murine liver metabolism through FGFR4, thereby reducing bile acid synthesis and increasing ...
Jordan M. Beardsley +5 more
wiley +1 more source
A Conditional Randomization Test to Account for Covariate Imbalance in Randomized Experiments
Journal of Causal Inference, 2016 We consider the conditional randomization test as a way to account for covariate imbalance in randomized experiments. The test accounts for covariate imbalance by comparing the observed test statistic to the null distribution of the test statistic ...
Hennessy Jonathan +4 more
doaj +1 more source