Description

In this episode, I tackled ‘omics’ data with a Bayesian fire engine, soared over a timeline of statistical ideas, and decreased statistical bias by increasing bias understanding.

References:

• A Survey of Statistical Methods for Microbiome Data Analysis
• PyCon US: Successful Return to In-Person in 2022
• PUSH, POP, and reset options for ODS graphics
• Using Bayesian Additive Regression Trees for Flexible Outcome Modeling
• R 4.2.1 scheduled for June 23
• Bias in Statistics: Definition, Selection Bias & Survivorship Bias
• X-MR (X-Moving Range) Chart
• From Anna Menacher: A timeline of the most important statistical ideas of the past 50 years
• useR! 2022 – all virtual – is next week!

R-packages:

• bnClustOmics: Bayesian Network-Based Clustering of Multi-Omics Data
• starticles: A Generic, Publisher-Independent Template for Writing Scientific Documents in 'rmarkdown'