Addressing Measurement Error in Random Forests Using Quantitative Bias Analysis

This study highlights the utility of applying quantitative bias analysis in machine learning to quantify the impact of measurement error on study res ults.
Source: American Journal of Epidemiology - Category: Epidemiology Source Type: research