# MaAslin2 statistical underpinning

**URL:** <https://forum.biobakery.org/t/maaslin2-statistical-underpinning/3099>\
**Category:** MaAsLin\
**Created:** [February 7, 2022, 9:48pm UTC](https://forum.biobakery.org/t/maaslin2-statistical-underpinning/3099 "2022-02-07T21:48:51Z")\
**Posts on this page:** 1\
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**Author:** ![nutribiomes](https://avatars.discourse-cdn.com/v4/letter/n/87869e/32.png) [@nutribiomes](https://forum.biobakery.org/u/nutribiomes)\
**Post date:** [February 7, 2022, 10:37pm UTC](https://forum.biobakery.org/t/maaslin2-statistical-underpinning/3099/3 "2022-02-07T22:37:23Z")

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Hi @himel.mallick - thank you for the prompt response. I see now. So you’re treating taxa as the dependent variable against a range of predictors. If I apply a ZINB with count data, is this different than running a ZINB using standard R packages or would it yield similar results under the same conditions? For example, would there be a difference between ZNIB used with MaAsLin 2 and the R packages ZNIB and NBZIMM?

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