Decision models are becoming more and more complex in order to better represent the underlying clinical conditions and to provide more and better insight to decision makers. New methodological techniques around decision modeling are being developed which rely heavily on statistical and mathematical techniques (e.g. model calibration, value of information, evidence synthesis). Current commercially available software can be limiting as they sometimes provide limited flexibility in embedding such statistical techniques within a decision model framework.
R is an open-source software that provides a flexible environment where advanced statistical analyses can be combined with decision models of varying complexity within the same framework and the results can be presented in publication ready tabular and graphical forms. The fact that R is freely available also improves model transparency and reproducibility.
The Child Health Evaluative Sciences (CHES) department of the Hospital for Sick Children and the THETA collaborative will be providing a 3-day workshop on decision modeling using R February 7th to 9th, 2017 at the Peter Gilgan Centre for Research and Learning, Toronto, Canada. Petros Pechlivanoglou PhD, a scientist at CHES together with guest instructors Hawre Jalal PhD from University of Pittsburg and Fernando Alarid Escudero PhD(c) from University of Minnesota will guide participants on building probabilistic decision trees, Markov models and microsimulations, creating publication-quality tabular and graphical output and will provide a basic introduction to value of information methods and model calibration using R.
Participants will be expected to have some experience with decision modeling and to be able to grasp basic concepts of economic evaluation. Participants are also expected to be familiar with R. For those with no or little experience in R, we will be providing an extra one-day "Introduction to R for decision modellers" webinar on Monday, February 6th, 2017.
Should you wish to register for this day, there is an option to do on this site as you register for the full course.
The following are topics that will be covered across the three days of the course. Please note: This is a preliminary agenda. Please check back for updates on this site for day to day content.
Day 1: Introduction to decision modeling using R
Day 2: Advanced topics in decision modeling using R
Day 3: Probabilistic models in R
Tuesday, February 7, 2017 - Thursday, February 9, 2017 9:00 AM - 5:00 PMEastern Time
The Peter Gilgan Centre for Research and Learning686 Bay Street11th Floor - RM 11-119701Toronto, Ontario M5G 0A4Canada
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