DescriptionDay 1: Introduction to decision modelling using R Choosing between alternative decision modelling software- the advantages and disadvantages of R A brief introduction to R A (very) brief introduction to matrix algebra Conceptualizing and operationalizing decision models in R Building a decision tree based model (deterministic analysis) Building a state-transition model (deterministic analysis) Day 2: Advanced topics in decision modelling using R Conceptualizing and operationalizing microsimulation models in R Building a microsimulation model Distributions and sampling processes in R Advanced topics in decision modeling/model calibration Evidence synthesis and decision modeling in R Day 3: Probabilistic models in R Parameter uncertainty in decision trees/ state transition/microsimulation models Introduction to meta-modeling Introduction to Value Of Information in R Analyzing and presenting the results of a probabilistic model in R.
|Period||07 Feb 2017 → 09 Feb 2017|
- R MODELING
HSC R&D/National Cancer Institute Health Economics Fellowship
Prize: Fellowship awarded competitively