Impute and Analyze Data with BLOQ Observations
Description
It includes estimating the area under the concentrations
versus time curve (AUC) and its standard error for data with
Below the Limit of Quantification (BLOQ) observations. Two
approaches are implemented: direct estimation using censored maximum
likelihood, also by first imputing the BLOQ's
using various methods, then compute AUC and its standard
error using imputed data. Technical details can found in
Barnett, Helen Yvette, Helena Geys, Tom Jacobs, and Thomas Jaki.
"Methods for Non-Compartmental Pharmacokinetic Analysis With Observations
Below the Limit of Quantification." Statistics in Biopharmaceutical
Research (2020): 1-12.
(available online:
).