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Listen "Episode 27: Statistical Models on the Quick"
Episode Synopsis
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
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
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