Episode 12: Bayesian Fire Engine

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'