Aaron Winn

Associate Professor, University of Illinois

“This course was the best training I’ve attended. It covered many areas essential to understanding the content, including how to structure your model, vectorization, a variety of needed commands and their efficiency, creating custom functions, combining functions to create a model, plotting data, and so much more.”

Ed Wilson

Professor, PenTAG (University of Exeter)

“This course is a great resource for creating interactive decision models using R and shiny. It offered the team a great mix of presentations and hands-on exercises, with clear code walkthroughs that are perfect for both beginners and experienced modelers.”

Dawn Lee

Associate Professor, PenTAG, University of Exeter

“The R Shiny course was really useful for our team and catered well for attendees at all skill levels. We all left considerably more confident about building Shiny applications for decision models in R. Having the codebase and coursebook to keep after the course was invaluable as this allowed us to continue to build on the skills we learnt on the day.”

Dr Rami Cosulich

Research Associate, University of Sheffield

“The course was great! The slides and explanations were clear. The exercises with solutions were really helpful, and loads of example code were made available. Having access to the recordings and the online book made the whole learning experience easier. ”

Sietse van Mossel

University of Twente

“This course provides an excellent playground with a variety of hands-on R material to experimentally improve my/your health economic modelling in R (Shiny).”

Ayman Sadek

Senior Research Associate, University of Bristol

“An excellent course on building health economic models in R + a Shiny interface with many examples and expert instructors. I appreciated the personalized support received during the code clinics. This course suitable for Intermediate or Advanced R users.”

Dr Louise Linsell

Principal Statistician, Visible Analytics

“The main tutor Rob was an excellent teacher, very knowledgeable and explains things very clearly at a good pace. The course material and resources were also excellent. I would thoroughly recommend and endorse this course.”

Michael Kim

Takeda/UIC

“The Dark Peak Analytics team is second to none. Very helpful, insightful, and friendly. Would highly recommend to anyone wanting to advance their HEOR skillsets in R.”

Matthew Keane

Health Economist, Novartis/University of Nottingham

“Really enjoyable course with clear information that is directly applicable to anyone learning R no matter what level. Really enjoyed how open the instructors were to questions. The materials were easily accessed and easy to follow.”

Sodam Kim

University of Illinois

“This microsimulation in R is really well structured and informative course. Especially, they provide you a bunch of codes that you can run on your own program. I definitely recommend this course to those who are interested in applying this knowledge to their study.”