Results 91 to 100 of about 540,575 (323)
The purpose of this study was to examine in which way adding more indicators or a covariate influences the performance of latent class analysis (LCA). We varied the sample size (100 ≤ N ≤ 2,000), number and quality of binary indicators (between 4 and 12
Ingrid Carlson Wurpts, Christian eGeiser
doaj +1 more source
Asymptotic theory for the Cox model with missing time-dependent covariate
The relationship between a time-dependent covariate and survival times is usually evaluated via the Cox model. Time-dependent covariates are generally available as longitudinal data collected regularly during the course of the study.
Dupuy, Jean-François+2 more
core +2 more sources
Objective The objective of this study was to evaluate and compare the risk of hepatotoxicity associated with the use of febuxostat and benzbromarone in patients with gout. Methods New users of febuxostat or benzbromarone with monitoring of liver function at least three times in a year after initiation of the study drugs were identified from an ...
Wenyan Sun+8 more
wiley +1 more source
The axolotl's remarkable regenerative abilities decline with age, the causes may include the numerous repetitive elements within its genome. This study uncovers how Ty3 retrotransposons and coexpression networks involving muscle and immune pathways respond to aging and regeneration, suggesting that transposons respond to physiological shifts and may ...
Samuel Ruiz‐Pérez+8 more
wiley +1 more source
Nonparametric Covariate Adjustment for Receiver Operating Characteristic Curves
The accuracy of a diagnostic test is typically characterised using the receiver operating characteristic (ROC) curve. Summarising indexes such as the area under the ROC curve (AUC) are used to compare different tests as well as to measure the difference ...
Aoki+36 more
core +1 more source
Altered Brain‐Behavior Association During Resting State is a Potential Psychosis Risk Marker
The study detects a potential multimodal biomarker that can be promising for identifying early markers of psychosis. It shows a consistent brain‐behavior association between a circuit of interconnected regions and executive function in neurotypical controls and individuals at various stages of psychosis.
Leonardo Fazio+22 more
wiley +1 more source
This study constructs a stacked multimodal machine learning model for nonalcoholic fattly liver disease (NAFLD) by integrating genetic and clinical features, and synthesize an in‐silico quantitative marker (ISNLD) that enables personalized risk stratification for intrahepatic and extrahepatic outcomes of high‐risk individuals of NAFLD.
Lushan Xiao+14 more
wiley +1 more source
The SNP rs2863002 at the 11p11.2 locus, identified through GWAS, is associated with an increased risk of neuroblastoma. The rs2863002‐C allele impairs the binding of the transcription factor GATA3, resulting in upregulation of the HSD17B12 gene.
Teresa Maiorino+20 more
wiley +1 more source
Covariate Shift Adaptation for Structured Regression With Frank–Wolfe Algorithms
This paper concerns structured regression problems wherein the issue of covariate shift is addressed, which aims at reducing the discrepancy in training and test data distributions, using computationally efficient and sparse optimization principles.
Santosh V. Chapaneri, Deepak J. Jayaswal
doaj +1 more source
Regression modeling on stratified data with the lasso
We consider the estimation of regression models on strata defined using a categorical covariate, in order to identify interactions between this categorical covariate and the other predictors.
Ollier, Edouard, Viallon, Vivian
core +2 more sources