Laurie G. Hudson

A data-driven single substitution to overcome bias from conventional single substitution for LOD missingness in covariates in least squares regression

The Limit of Detection (LOD) is the threshold below which a measurement is considered too low to be reliably quantified. Even though advanced statistical methods exist for dealing with the values below the LOD, simple approaches are still frequently used in real-world settings. C...