This report compares gut and vaginal microbiome profiles from the Human Microbiome Project to consider how the different ecological dynamics in each sample type might modulate the potential for bias to distort FCs in species proportions.
This document performs analysis of the data from @leopold2020host to support the fungal case study in the manuscript.
Perform calculations for the Lloyd et al (2020) case study.
We perform the regression analysis of Leopold and Busby (2020) with and without bias correction, finding that there is negligible impact of bias correction on the results.
Analyze the impact of bias on a DA analysis of relative abundances versus diversity.
Evaluate the robustness of an estimate and inference to bias.
Simulate an example of how bias impacts a regression analysis.
This doc develops a hypothetical example in which bias leads to a spurious differential abundance result. It is based on a real case of bias measured among three species of vaginally-associated bacteria.
Create illustration of a spurious differential abundance using the Leopold and Busby (2020) dataset.