Resource Library
Toolkit:A guide to starting and running an AuthorAID journal club
In this guide, we outline the steps to starting and running your own AuthorAID journal club and share learning from our existing journal clubs.
Book:R for Data Science
This book will teach you how to do data science with R: You’ll learn how to get your data into R, get it into the most useful structure, transform it, visualise it and model it
Web resource:Statistical Tools for High-throughput Data Analysis (STHDA).
STHDA webpage offers a variety of resources.
Web resource:Research Data Management and Sharing, University of Edinburgh
University of Edinburgh, MOOC content.
Web resource:Statistics, Unlocking the World of Data, University of Edinburgh
University of Edinburgh, MOOC content.
Video:How Bayesian inference works
Video and blog post by Brandon Rohrer.
Web resource:Beware the Kolmogorov-Smirnov test!
Article by Eric Feigelson and G. Jogesh Babu, Center for Astrostatistics, Penn State University.
Article:Data Science - a Guide for Society
'Data Science - a Guide for Society' by Sense about Science
Article:The SAMPL Guidelines for Statistical Reporting
"Basic Statistical Reporting for Articles Published in Biomedical Journals: The 'Statistical Analyses and Methods in the Published Literature' or The SAMPL Guidelines” by Thomas A. Lang and Douglas G. Altman. These statistical-reporting guidelines can help authors, editors, and peer reviewers. Most of the content is applicable not only to biomedical but also to other fields.
Web resource:"The Little Handbook of Statistical Practice"
Addresses a variety of major topics in statistics. Also includes links to other statistics resources. By statistician Gerard E. Dallal, PhD.