The researchers developed a new method to reduce bias in analyzing data with non-zero censoring, like in milk-market participation in Ethiopia. They found that traditional methods assume censoring at zero, leading to biased results. By using Bayesian techniques, they improved parameter estimates and inference in the analysis. The new method is easy to use, works well with different sample sizes, and provides more accurate results for studying participation in milk markets.