Course curriculum
This course teaches delegates to create interactive web applications for health economic models. Based on peer reviewed literature, it shows how to develop robust and fast decision models, and deploy shiny user-interfaces written in R. Follow at your own pace, with 12 months access to extensive course materials, code demos and exercises. See the free preview lessons below.
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Welcome
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Content overview
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Code download
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Coursebook
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* Optional: Structure of the Code files
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Live code clinic times
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Background: Presentation
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Background: Quiz
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Hello World: Presentation + Code
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Hello World: Exercise
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Our first 'proper' app
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Our first 'proper' app: Exercise
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Additional Resources
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Code clinic
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Content overview
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Initialising the Model: Presentation
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Initialising the Model: Code Walkthrough
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Initialising the Model: Quiz
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Running the model - Presentation
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Matrix Multiplication Quiz
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Running the model - Code Walkthrough
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Running the model: Exercise
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Calculating Outcomes: Presentation
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Calculating Outcomes: Code Walkthrough
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Calculating Outcomes: Exercise
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* Optional: stm_solution_2 walkthrough
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* Optional: Refactoring the model
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Running Probabilistic Analysis
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Running PSA: Quiz
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Additional Resources
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Code clinic
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Content Overview
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Background
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Wrapper function: Code Walkthrough
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Wrapper function: Exercise
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Integrating the model into shiny: Presentation
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Integrating the model into shiny: Code Walkthrough
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Integrating the model into shiny: Exercise
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Deploying the app online: Walkthrough
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Deploying the app online: Quiz
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Deploying the app online: Exercise
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Additional Resources
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Code clinic
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Content overview
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Reactivity & Observers: Presentation
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Reactivity & Observers: Code
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Reactivity & Observers: Quiz
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Basic UI Layout: Present + Code
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Images: Present + Code
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Downloading data: Present + Code
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Downloading Data: Exercise
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Uploading data: Present + Code
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Uploading data: Exercise
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Downloading plots: Present + Code
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Downloading plots: Exercise
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Custom CSS styling: Present + Code
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Additional Materials
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Code clinic
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Content Overview
FREE PREVIEW -
Contents table
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* Optional: How to make the most of the code clinics
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* Optional: Excel vs R overview
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* Optional: Time dependent state transitions
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* Optional: Transition Costs & Rewards (events)
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* Optional: Tunnel States
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* Optional: Text aesthetics in shiny
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* Optional: Validation
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*Optional: Expert Elicitation Example
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* Optional: Clickable Plots
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* Optional: Disable Button
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* Optional: Authentication
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* Optional: Notifications
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* Optional: Conditional UI
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About this course
- 5.5 hours of video content
- Online Coursebook
- Extensive code repository
- 4 x 1 hour live code clinics
Live code clinics
Our live code clinics for this session of the course will be run at the following times. Course materials are available immediately.
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5th February 2025: 1-2pm London (8-9am New York; 5-6pm Dubai)
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12th February 2025: 1-2pm London (8-9am New York; 5-6pm Dubai)
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19th February 2025: 1-2pm London (8-9am New York; 5-6pm Dubai)
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26th February 2025: 1-2pm London (8-9am New York; 5-6pm Dubai)
Instructors
Robert Smith, PhD
Dark Peak Analytics | University of Sheffield
Dr Paul Schneider, PhD
Dark Peak Analytics | University of Sheffield
Wael Mohammed, MSc
Dark Peak Analytics | University of Sheffield
Testimonials
Feedback from previous courses
“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.”
Professor Ed Wilson, 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.”
Dawn Lee, Associate Professor, PenTAG, University of Exeter“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, University of Sheffield“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 course provides an excellent playground with a variety of hands-on R material to experimentally improve my/your health economic modelling in R (Shiny).”
Sietse van Mossel, University of Twente“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. ”
Michael Kim, Takeda/UIC“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. As a beginner, I found the approach of teaching base R before learning package functions much easier to grasp. I have been on previous R courses for beginners and left in a state of confusion. ”
Delegate from HEOR consultancy“Really accessible, loved the content with practice questions. This made it far less daunting for a complete beginner like myself.”
Delegate from NHS Scotland“The course delivery has been great! I particularly appreciate the live and updated content and the accompanying coursebook.”
Delegate from GSK“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 PharmaWhat's included?
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FAQ
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Does the price include VAT? Will I get an invoice?
Yes all prices provided are inclusive of VAT. You'll receive an invoice including VAT by email after booking.
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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.
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When are the course materials made available?
Course materials are provided one month prior to the first code clinic, allowing plenty of time to access the materials prior to the live sessions.
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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/)
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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.
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Can I send questions via email if I can't attend a code clinic?
Yes, we will respond to questions sent via email or on the dedicated discussions board of the course platform.
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Do you provide discounts for LMIC?
Those from LMIC should book using the 'Public Sector' price. If this is not possible please feel free to contact us directly.
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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).
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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.