Multiple linear regression modeling with values below a lower limit of quantification - a statistical method comparison.

ABSTRACT:

Background

Missing values occur in almost all real-world medical data. Sometimes, more information is available for the missing values due to technical measurement limits. This was also the case for some sports medical data set where several laboratory measurements below a lower limit of quantification (LLOQ) were faced and supposed to be used in a multiple linear regression model. When studying the literature, the problem arises in several disciplines (environmental epidemiology, pharmacokinetic studies etc.) and different statistical methods are suggested. However, only very limited work on a method comparison is available, especially in the multivariable linear regression settting.

Methods

Therefore, we compare statistical methods for addressing values below a LLOQ in mul

SUBMITTER: Hafermann L 

PROVIDER: S-EPMC12853717 | biostudies-literature | 2026 Jan

REPOSITORIES: biostudies-literature