Most microbial ecologists understand the importance of rigorous statistical analysis for conducting a replicable study. However, formal courses in the statistical analysis of high-dimensional ecological data are rare, and traditional courses in applied statistics may not teach skills applicable to modern microbiome analysis.

This webinar will introduce foundational concepts in statistics, with a focus on applying these concepts to the analysis of modern microbiome datasets. To illustrate these concepts, we will use the field of "differential abundance" as a case study. We will contrast popular differential abundance parameters and estimators, specifically focusing on estimating meaningful contrasts using high-throughput sequencing data.

You may either watch the entire presentation from the introduction or navigate directly to a specific section by clicking the links provided below:

• Introduction

• Three approaches to analysing data

• Case study: Microbial abundance parameters

• RadEmu and its application

• Examples of statistical tools suitable for different parameters

• Q&A