NHS R Webinar - Using R to explore simple statistical analyses with machine intensive methods
Channel: NHS-R Community
Date: 2021-09-30

Presented by: Michael Campbell

Brief summary: In the 12th Edition of Statistics at Square One (Wiley, 2021) I used R to do all the analysis and plot all the figures. R is great for students because it is free and interfaces such as R Commander make simple analyses accessible to students.  In the webinar I will explore how R makes machine intensive analyses relatively simple and enables the investigator to compare traditional (asymptotic) methods with methods such as permutations, and bootstrap methods. I will also discuss simulation to explore the properties of estimators.

1) What are machine intensive methods? Fisher's randomization test, the jackknife, the bootstrap and simulation .
2) The t-test and chi-squared test compared with Fisher's randomization test
3) Confidence intervals and bootstrap methods
4) Simulations to demonstrate the central limit theorem and confidence interval coverage probabilities.

Mike’s book ‘Statistics at Square One’ is available to purchase here  https://www.wiley.com/en-gb/Statistics+at+Square+One%2C+12th+Edition-p-9781119402343
and by quoting STATS you’ll receive 20% discount 

The whole book is available in Rmarkdown here: GitHub - mikejcampbell50/StatsSq1: Statistics at Square One 12th ed