useful resources and links

A list of links and resources

Start here

A very opinionated, but short list of things that you should read.

• Learn markdown in 60 seconds

General unsorted links

• http://tutorials.iq.harvard.edu/ (Harvard R and Python workshops)
• https://www.coursera.org/course/rprog
• https://www.codecademy.com/learn/learn-git
• http://andrewgelman.com/2015/10/02/syllabus-for-my-course-on-communicating-data-and-statistics/
• http://www.walkingrandomly.com/?p=5877
• https://www.coursera.org/learn/biostatistics
• http://www.niaa.org.uk/
• http://software-carpentry.org/
• http://apawlik.github.io/2014-11-27-elixiruk-manchester/
• http://www.datacarpentry.org/
• https://github.com/donnemartin/data-science-ipython-notebooks
• https://www.datacamp.com/courses/data-table-data-manipulation-r-tutorial

Papers of interest

• Predicting fluid requirements in ITU

Datasets for use

General data

• HIC data (UCLH specific)
• (SPOT)light data
• MIMIC data
• HSCIC indicator portal (https://indicators.ic.nhs.uk/webview/): a large number of openly published NHS outcomes data

Data that might be used but will need specific permissions

• PERTicus data at UCLH
• Obstetrics data

R packages

• https://github.com/qinwf/awesome-R
• https://github.com/ropensci/testdat
• http://www.onthelambda.com/wp-content/uploads/2015/01/assertr.html