Results 151 to 160 of about 1,615,733 (299)
Covariate-adjusted SMI by the UA quartiles (mean ± SEM, n = 3079).
Covariate-adjusted SMI by the UA quartiles (mean ± SEM, n = 3079).
Yu-ming Chen (330176) +5 more
core +1 more source
ProMetNet introduces a biologically constrained deep learning framework for proteo‐metabolomic integration by embedding Reactome‐derived pathway topology into neural networks. It captures non‐linear molecular dependencies and pathway‐level metabolic reorganization, enabling interpretable discrimination.
Minghui Zhao +6 more
wiley +1 more source
How Balanced Should Causal Covariates Be?
Covariate balancing is a popular technique for controlling confounding in observational studies. It finds weights for the treatment group which are close to uniform, but make the group's covariate means (approximately) equal to those of the entire sample.
Kaul, Shiva, Kim, Min-Gyu
openaire +2 more sources
Covariate-Adjusted Mean Number of Physician Visits at Each Follow-Up Period for Appraisal Groups.
Covariate-Adjusted Mean Number of Physician Visits at Each Follow-Up Period for Appraisal Groups.
Reinhard Pekrun (282996) +5 more
core +1 more source
NICE: A Two‐Step Non‐Invasive Framework for Embryo cfDNA Read Enrichment and Quality Assessment
The non‐invasive NICE framework, built on an ensemble stacking machine learning model, prioritizes embryos by analyzing cell‐free DNA from spent culture medium. By integrating multimodal signals, including genomic and epigenetic profiles, this automated approach standardizes morphological assessment without human bias, paving the way for more precise ...
Xueya Zhou +6 more
wiley +1 more source
The protein aggregates and gene expression in the middle temporal gyrus (MTG) and somatosensory cortex (SOM) of the postmortem brains of 13 Alzheimer's disease patients were studied in detail, revealing that small hyperphosphorylated tau aggregates increase with Braak stage driven by microglial inflammation.
Elizabeth A. English +9 more
wiley +1 more source
Estimating the causal effects of exposure mixtures: a generalized propensity score method
Background In environmental epidemiology and many other fields, estimating the causal effects of multiple concurrent exposures holds great promise for driving public health interventions and policy changes. Given the predominant reliance on observational
Qian Gao +7 more
doaj +1 more source
Sample Size for Confidence Interval of Covariate-Adjusted Mean Difference
This article provides a way to determine adequate sample size for the confidence interval of covariate-adjusted mean difference in randomized experiments.
Xiaofeng Steven Liu
core +1 more source
Integrative multi‐cohort analyses identify 14‐3‐3γ as a biomarker and regulator of cognitive vulnerability. Experimental studies show that 14‐3‐3γ loss is associated with Tau Thr205 phosphorylation, synaptic dysfunction, and cognitive impairment, while genetic overexpression or pharmacological stabilization of 14‐3‐3γ confers protective effects in ...
Shouqiang Zhu +5 more
wiley +1 more source
Diagnosing Covariate Balance Across Levels of Right-Censoring Before and After Application of Inverse-Probability-of-Censoring Weights. [PDF]
Jackson JW.
europepmc +1 more source

