🎉Neil Shephard shares his journey from genetic epidemiology to Research Software Engineering, reviving @Sheffield_R_, & building tools for thyroid cancer prediction! “I’m focused on creating a local group to foster connections.” Read more:https://t.co/dq8obIQ5q9
#RStats
Robert is going to demonstrate tools used to build automated workflow (plumber, Markdown, GitHub actions) together with R Shiny interface allowing non-technical users to produce reports.
Next, Robert Smith talks about the transition of health economics evaluation from an Excel based ecosystem to a more reproducible framework for determining cost-effectiveness.
The accompanying sicksickerPack R package demonstrates the use of generic functions which allow re-use of code with different models https://t.co/PB280gx6EP
Benefits of this type of Shiny app: transparent data and visualisations really useful for local authorities. Also potential for increasing reproducibility to be as useful as possible for different user groups.
Always wanted to read *Advanced R*? We are joining forces with @RLadiesDenBosch @RLadiesAMS and @RladiesNijmegen to start a book club! Sign up to our first session at https://t.co/7yhMKhOnjh! And learn more about this book club here https://t.co/mk9uxode5o 🤩📚👩💻👩🏽💻👩🏻💻 #rladies
Registration for our next NHS-R Community webinar is now open! Chris Beeley will host the webinar on Shiny on Wednesday 22nd April from 1-2pm. Sign up here! https://t.co/x3Q1D6Wbho #nhsr#datascience#rstats