Feature selection and causal analysis for microbiome studies in the presence of confounding using standardization

HIGHLIGHTS

• who: Emily Goren from the Department of Statistics, Iowa State University, USA have published the article: Feature selection and causal analysis for microbiome studies in the presence of confounding using standardization, in the Journal: (JOURNAL)
• what: In this manuscript the authors aim to estimate population-level effects of individual microbiome features while controlling for confounding by a categorical variable. Due to the high dimensionality and confounding-induced correlation between features the authors propose feature screening selection and estimation conditional on each stratum of the confounder followed by a approach to estimation of populationlevel effects of . . .
  

   

  

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