Course curriculum

This course explores the intersection of R and Generative AI for Health Economic Evaluation. Participants will learn to leverage the power of Large Language Models (LLMs) to enhance various aspects of Health Economic and Outcomes Research (HEOR), from systematic literature reviews and health economic model construction to advanced report generation. Through practical case studies and hands-on exercises, attendees will develop proficiency in prompt engineering, build GenAI-powered applications, and gain a critical understanding of the ethical considerations and future potential of AI in HEOR.

Course curriculum in progress

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About this course

  • 4 hours of video content
  • Extensive Code Repository
  • Online Coursebook

Instructors

Robert Smith, PhD

Dark Peak Analytics | University of Sheffield

Rob is an expert in the use of R for health economic modelling. He has previously worked at the UK Joint Biosecurity Centre, the UK Health Security Agency, the World Health Organization and The University of Sheffield. He has consulted for a wide range of organisations including top 10 pharmaceutical companies, national health ministries and HTA bodies. He is a keen proponent of the use of R for HTA; serving as co-director of the international R-HTA consortium and the World Health Organisation’s Health Economic Assessment Tool Expert Advisory Group.

Dr Paul Schneider, PhD

Dark Peak Analytics

Paul is an expert in the development of software for HEOR. A medical doctor and epidemiologist by training, he has used R on various research projects, ranging from the modelling costs of breast cancer, and value of information analyses, to the monitoring of influenza in real-time using online data. He is a keen advocate of open science practices and has published several open-source papers with Rob on the use of shiny and R for health economic evaluation.

What's included

Follow at your own pace, with extensive course materials, code demos and exercises. Ask questions of our experts at our live code-clinics.

  • Online coursebook with code chunks, descriptions of methods and with exercises & solutions

  • Recorded presentations covering the key concepts, and with step by step code walkthroughs

  • Code repository containing all code from the demonstrations, exercises and solutions

Testimonials

Feedback from previous courses

“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. ”

Dr Rami Cosulich, Research Associate, University of Sheffield

“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.”

Dr Louise Linsell, Principal statistician Visible Analytics

“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. ”

Dr Michael Kim, Takeda/UIC

“The course content was clear and the on-demand format allowed me to continue the course flexibly around my work which was great!”

Isobel Firth, Senior Health Economist, UKHSA

“It was easy to follow, every material was easily accessible and it was structured in a very manageable way.”

Delegate from the University of Sheffield

“The course delivery has been great! I particularly appreciate the live and updated content and the accompanying coursebook.”

Delegate from GSK

“Thank you! I really enjoyed the course. I found having the textbook super helpful to read ahead of sessions, and the code clinics were useful to be able to more freely ask questions. The facilitators were so really good and appreciated their responsiveness to questions and comments in the chat. Impressed about live coding skills!”

Delegate from Dept. for Health and Social Care, UK

“The format worked well (mix of taught sessions and code clinics), tutors were all great and very knowledgeable and engaging. Really appreciated being able to get feedback on my code. I've come away feeling a lot more confident, and also of how much left I have to learn.”

Delegate from FTSE100 Pharma

“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.”

Aaron Winn, Associate Professor 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. ”

Sodam Kim, University of Illinois

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Thank You

FAQs

  • How long will I have access to course materials for?

    For 12 months. Some of our materials are also downloadable, so you can still refer to them after that period.

  • When are the course materials made available?

    Course materials are provided immediately - giving plenty of time

  • What software do I need on my computer?

    To run the code provided, we recommend delegates have R Version 4.0.2 (2020-06-22) or newer, and RStudio (https://www.rstudio.com/products/rstudio/download/)

  • I want something more bespoke, do you teach other courses?

    Yes, we teach bespoke courses on a range of other topics in addition to teaching these topics in live sessions within Industry, Universities and Government. For our full pathway see https://www.courses.darkpeakanalytics.com/bundles/r4he-modelling-skills

  • Will I get an invoice?

    Yes, you'll receive an invoice by email after booking.

  • Do you provide discounts for LMIC?

    Yes, we offer a discount for those booking from a LMIC. Please use the discount code: lmic50 for a 50% discount on the content only version of the course.

  • What kinds of questions can I ask in the code clinic?

    Anything you like. We will prioritise questions about the course materials, but feel free to bring any other challenges you are facing (related to R or Health Economics).

  • Can I book for a large group? Do you offer discounts for large groups?

    It is possible to book for others using a 'gift' purchase. We do offer discounts for large group bookings, please contact us to get a booking link.