Noncollapsibility and its role in quantifying confounding bias in logistic regression

HIGHLIGHTS

  • who: Noah A. Schuster from the Department of Epidemiology and Data Science, Amsterdam Public Health Research Institute, Amsterdam UMC, Location VU University Medical Center, De Boelelaan, Amsterdam, The Netherlands have published the paper: Noncollapsibility and its role in quantifying confounding bias in logistic regression, in the Journal: (JOURNAL)
  • what: Subsequently, using an empirical data example, the authors demonstrate that the change-in-estimate criterion to determine confounding bias may be misleading. The authors provide guidance in determining the set of confounders and quantifying confounding bias. Simulation study Simulation methods A Monte Carlo simulation study was . . .

     

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