Appendix A — Other helpful resources
This section is still under construction
Here are some other helpful resources that still need to be organized and triaged.
A.1 Statiatical Programming:
Resources…. Here are a few references that might be helpful for learning R: University of Utah Resource https://uofudelphi-r-23-08-21.netlify.app/ More in depth resource/book https://r4ds.hadley.nz/ and slightly more advanced: https://rap4mads.eu/03-functional-programming.html style guide for how to name things https://style.tidyverse.org/syntax.html
A.2 Project Management
A.2.1 Figures
- https://nrennie.rbind.io/blog/chart-makeover/
A.3 Take your knowledge to the next level
Advanced topic list:
Boostrap Survival Analysis / competing events? Multiple testing /FWER EM algorithm??? Random effects models / GEEs General linear model Propensity Score methods
A.3.1 Bayesian Analysis:
Bayes factors - https://statsedge.org/shiny/LearnBF/
A.3.2 Machine Learning
todo
A.3.3 Getting grants:
A couple of very good tips for grants and papers at: https://sites.google.com/a/nyu.edu/ankit-parekh/