Episode 27: Statistical Models on the Quick

In this episode, I kept it quick with appropriate microbial resistance data procedures, using a TI 83 calculator for statistics, and hoping for an easy entry to NEON data wrangling with package ‘neonOS’. References: Statistical Network Analysis with Bergm ParMA: Parallelized Bayesian Model Averaging for Generalized Linear Models AMR: An R Package for Working with Antimicrobial Resistance Data new version of package declared 3 ways to enhance productivity with AI TI 83 for Statistics: Easy Steps for Common Problems Hazard Ratio: Interpretation & Definition Writing Functions in R August 2022:  “Top 40” New CRAN Packages R-packages: easydb: Easily Connect to Common Types of Databases neonOS: Basic Data Wrangling for NEON Observational Data getpublist: Obtain a List of Publications from 'PubMed' and 'Google Scholar' adjustedCurves: Confounder-Adjusted Survival Curves and Cumulative Incidence Functions