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Table 4 Results of GAMLSS-BEZI and LMAS: real microbiome data example 2

From: metamicrobiomeR: an R package for analysis of microbiome relative abundance data using zero-inflated beta GAMLSS and meta-analysis across studies using random effects models

 

GAMLSS-BEZI

LMAS

Bacterial phyla

Estimate

95% Lower limit

95% Upper limit

p-value

FDR adjusted p-value

Estimate

95% Lower limit

95% Upper limit

p-value

FDR adjusted p-value

Actinobacteria

0.19

0.04

0.34

0.0119

0.0208

0.05

−0.06

0.16

0.3451

0.3451

Bacteroidetes

−0.26

−0.42

− 0.10

0.0018

0.0070

−0.05

− 0.09

−0.01

0.027

0.1079

Firmicutes

−0.16

−0.30

− 0.03

0.0156

0.0208

−0.04

− 0.12

0.04

0.3168

0.3451

Proteobacteria

0.14

−0.02

0.30

0.0861

0.0861

0.02

−0.02

0.07

0.2916

0.3451

  1. Data from Bangladesh study. Comparison of longitudinal monthly gut bacterial relative abundances at phylum level between infants from 6 months to 2 years of age with solid food introduction after 5 months vs. before 5 months of age using GAMLSS-BEZI vs. LMAS. Significant p-values (< 0.05) are in bold
  2. GAMLSS-BEZI Generalized Additive Models for Location, Scale and Shape (GAMLSS) with a zero inflated beta (BEZI) family, LMAS linear model with arcsin square root transformation (implemented in the software MaAsLin), FDR false discovery rate
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BMC Bioinformatics

ISSN: 1471-2105

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