Course curriculum

This course teaches delegates to build partitioned survival models in R. It covers the basics of survival analysis, extrapolation & sampling for PSA. Follow at your own pace, with 12 months access to extensive course materials, code demos and exercises. Ask questions at our live code clinics or on the discussion forum.

  1. Welcome to the course!

  2. Basics of Survival Analysis with flexsurv

  3. A single curve

  4. Extensions on a single curve

  5. Multiple curves

  6. Building the model as a function

About this course

  • Extensive Code Repository
  • 4 x 1 hour live code clinics
  • Online Coursebook

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

  • Live code-clinics with a chance to ask questions about any of the materials

Instructors

Rose Hart, PhD

Dark Peak Analytics

Dr Rose Hart is a Director at Dark Peak Analytics where she specialises in the development of script-based health economic models and user interfaces in R and shiny. Rose has a PhD in biomedical sciences and almost a decade of experience working in HEOR consulting. She leads a successful short course on the use of R for Health Economic Evaluation annually at ISPOR and ISPOR Europe, and publishes on topics relating to health economics in peer reviewed journals.

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.

Wael Mohammed, MSc

Dark Peak Analytics | University of Sheffield

Wael has a background in pharmacy and public health. He is an expert in decision-analytic modelling, econometrics, and data science (especially in R). His PhD is in calibration methods for health economic evaluation. He has previously held positions at, NICE, the Department for Health and Social Care and the University of Sheffield.

Live code clinics

Our live code clinics for this session of the course will be run at the following times. Attendance is optional. If you can't attend at these times please reach out via email.

  • TBD

  • TBD

  • TBD

  • TBD

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

“Really accessible, loved the content with practice questions. This made it far less daunting for a complete beginner like myself.”

Delegate from NHS Scotland

“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

Book today

  • £895.00

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  • £495.00

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FAQ

  • 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 one month prior to the first code clinic, allowing plenty of time to access the materials prior to the live sessions.

  • 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.

  • Will I get an invoice?

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

  • 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.

  • 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.