Censored data in regression leads to biased estimates, new method needed.
The researchers looked at how using censored data affects Deming regression compared to traditional regression in analyzing measurement errors. They ran eight simulation studies with 100 datasets each, finding that traditional Deming regression without censored data gives biased estimates, while an adapted version considering censored data gives unbiased estimates close to the true value. This means that when analyzing measurement errors, it's important to account for censored data to get accurate results.
