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<!-- Welcome! This website is the official home for all information related to the Cost-Effectiveness and Decision Modeling workshop. This site contains all the information you’ll need to get the most out of this workshop, including software, R packages, and additional resources. -->
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Welcome! This site contains all the key information for this workshop, including required software, R packages, and additional resources. Please note that completing the mandatory preparation (see Pre-work Preparation) and joining our Slack workspace are essential steps to ensure you are fully prepared before the workshop begins.
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Welcome! This site contains all the key information for this workshop, including required software, R packages, and additional resources.
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Please note that completing the Pre-Workshop Preparation materials and joining the Slack workspace are essential steps to ensure you are fully prepared before the workshop begins. See below on this page for instructions on where to locate these items.
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## Workshop dates and location
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The course will use Auditorium 2 on Floor 1 of the University of Oslo's main library building called Georg Sverdrups Hus. The address is: Moltke Moes vei 39, 0851 Oslo. Please click here for a link (available in Norwegian and English) to see a map of the building and transportation instructions: <https://www.uio.no/english/about/getting-around/areas/blindern/bl27/index.html>
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## Expected workload
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<!-- On workshop days, participants will spend approximately **5-6 hours in live interactive sessions**. -->
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We recommend investing an additional **2-4 hours per day** to review material and complete exercises.
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## Suggested daily schedule
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- Preparation modules with video lectures: **1-2 hours**
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- Live interactive sessions with code demonstrations and coding exercises: **5-6 hours**
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- Completion of coding assignments: **1-2 hours**
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- Completion of coding assignments (if not finished during class time): **1-2 hours**
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## Communication
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**4. Mandatory pre-course Intro to R module**
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Prior to the start of the workshop, please go through the Introduction to R module to learn the fundamentals and functionality of R that you will need for the workshop. Depending on your current R skills, it may take you between **2-8 hours** to complete the module. Access the module here: <https://intro-to-r-mod.netlify.app/>
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Prior to the start of the workshop, please go through the Introduction to R module to learn the fundamentals and functionality of R that you will need for the workshop. Depending on your current R skills, it may take you between **2-8 hours** to complete the module.
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You can find the module by clicking the "Introduction to R" section on the menu on the left of this website, or clicking here: <https://ppehli.github.io/DARTH_course/prework/intro-r.html>
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Please let Alex or Petros know if you encounter difficulties installing the *darthtools* and *dampack* R packages when completing the <ahref="../materials/intro_to_r/00_prep.Rmd"download>00_prep.Rmd </a> file on the first page of the module: <https://intro-to-r-mod.netlify.app/days/day1/getting_ready/>
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**5. Familiarize yourself with this course website**
Prior to the start of the workshop, please go through the Introduction to R module to learn the fundamentals and functionality of R that you will need for the workshop. Depending on your current R skills, it may take you between **2-8 hours** to complete the module. Access the module here: <https://intro-to-r-mod.netlify.app/>
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Prior to the start of the workshop, please go through the Introduction to R module to learn the fundamentals and functionality of R that you will need for the workshop. Depending on your current R skills, it may take you between **2-8 hours** to complete the module. Access the module here: <https://ppehli.github.io/DARTH_course/prework/intro-r.html>
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Please note that the module’s Software Installation page mentions older R and RStudio versions – please disregard this and download the latest versions available.
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Please let Alex or Petros know if you encounter difficulties installing the *darthtools* and *dampack* R packages when completing the 00_prep.Rmd file on the first page of the module: <https://intro-to-r-mod.netlify.app/days/day1/getting_ready/>
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Please let Alex or Petros know if you encounter difficulties installing the *darthtools* and *dampack* R packages when completing the 00_prep.Rmd file on the first page of the Intro to R module.
## Decision Analysis in R for Technologies in Health (DARTH) workgroup
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DARTH is a multi-institutional, multi-university collaborative effort comprised of researchers who have a passion for transparent and open-source solutions to decision analysis in health. The aim of this collaboration is to expand knowledge in decision analysis using R and develop educational material that empowers people to construct R-based decision models.
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Please visit the DARTH website to find tutorials and publications by our group that may be helpful for your own work: <https://www.darthworkgroup.com/>
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Follow us on LinkedIn to know about future workshops and publications: <https://www.linkedin.com/company/darth-workgroup/>
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## R for Health Technology Assessment (HTA)
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R for Health Technology Assessment (HTA) is an academic consortium whose main objective is to explore the use of R for cost-effectiveness analysis (CEA): <https://r-hta.org/>
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Access the free web version of the recently published R for HTA textbook: <https://gianluca.statistica.it/books/online/r-hta/>
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## Society of Medical Decision Making (SMDM)
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The Society for Medical Decision Making aims to advance medical decision-making research and practice to improve health outcomes. Members work together with patients, clinicians, researchers, policy-makers, and the public to improve the quality, patient-centeredness, and value of health decisions.
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SMDM hosts many (virtual) webinars, workshops, and short courses throughout the year: <https://smdm.org/education/>
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## International Society for Pharmacoeconomics and Outcomes Research (ISPOR)
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ISPOR's mission is to advance health economics and outcomes research excellence to improve decision making for health globally.
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ISPOR also hosts educational events throughout the year: <https://www.ispor.org/education-training>
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