Association between Sitting Time and Urinary Incontinence in the US Population: data from the National Health and Nutrition Examination Survey (NHANES) 2007 to 2018

Documents similaires

• NHANES-GCP: Leveraging the Google Cloud Platform and BigQuery ML for reproducible machine learning with data from the National Health and Nutrition Examination Survey
  par: Katz, B. Ross, et autres
  Publié: (2024)
• Association of normalization, non-differentially expressed genes and data source with machine learning performance in intra-dataset or cross-dataset modelling of transcriptomic and clinical data
  par: Deng, Fei, et autres
  Publié: (2025)
• Beyond P-Values: Importing Quantitative Finance's Risk and Regret Metrics for AI in Learning Health Systems
  par: Chakraborty, Richik
  Publié: (2026)
• A Novel Multi-view Mixture Model Framework for Longitudinal Clustering with Application to ANCA-Associated Vasculitis
  par: Jia, Shen, et autres
  Publié: (2026)
• A likelihood-based Bayesian inference framework for the calibration of and selection between stochastic velocity-jump models
  par: Ceccarelli, Arianna, et autres
  Publié: (2025)