I used MaAsLin2 (version 1.10.0) to identify microbes significantly associated with the categorical variable (clinically effective, or no_effective).
I don’t know much about the mathematical principles of different statistical/regression models, so I tried every model (LM, CPLM, NEGBIN, ZINB) with each transformation and normalization methods.
The results of different models varied significantly (different transformation/normalization methods of the same model also could contribute to different results), for example, LM models with each transformation and normalization methods found no association, while CPLM, NEGBIN and ZINB models found a dozen of microbes associated with clinicla effect.
My question is:
Which model and transformation/normalization method are more reliable? How should we choose the varied microbes identified by different model and transformation/normalization method, such as those found consistently by several methods, or combining the biological significance of the research topic?
Sorry, my question is a little long.
Thanks for your help!