Bayesian Deming robustness with a high percentage of outliers
I just uploaded a video showing the differences between typical method comparison regressions when outliers with leverage are massively present in the data.
Bayesian Deming regression, Type I (alpha) error
Linear heteroscedastic Bayesian Deming regression, a case study
Abstract
Bias with AUC - PBequi, PaBa, Deming, MDeming, MMDeming
Bayesian vs frequentist Deming regression comparison
The glycHem data set
Bayesian Deming regression - Small sample example
Bayesian Deming regression (with heteroscedastic error structure)
Passing Bablok is biased at low data precision (thus almost always)
Bayesian Deming regression - About the sampling method
The basic concept in rstanbdp is to sample a single error term instead of two. The idea comes from the Weighted Deming procedure proposed by Linnet in multiple articles, for example K. Linnet, Clinical Chemistry 44:5, 1024-1031 (1998)