Resources

Software packages

The following open source software packages are used for decision modeling and leverage different approaches: decision trees, Baynesian networks (eg, influence diagrams), mixed-integer linear programming (MILP) (ie, optimization), and agent-based modeling.

  1. R: rdecision: for decision trees
  2. Python: pyAgrum: for influence diagrams with Bayesian networks
  3. Julia: DecisionProgramming.jl: for influence diagrams with MILP
  4. Julia: Agents.jl: for agent-based modeling

Primer on Medical Decision Analysis (5 part series)

  1. Detsky, A. S., G. Naglie, M. D. Krahn, D. Naimark, and D. A. Redelmeier. “Primer on Medical Decision Analysis: Part 1–Getting Started.” Medical Decision Making: An International Journal of the Society for Medical Decision Making 17, no. 2 (1997): 123–25. https://doi.org/10.1177/0272989X9701700201.
  2. Detsky, A. S., G. Naglie, M. D. Krahn, D. A. Redelmeier, and D. Naimark. “Primer on Medical Decision Analysis: Part 2–Building a Tree.” Medical Decision Making: An International Journal of the Society for Medical Decision Making 17, no. 2 (1997): 126–35. https://doi.org/10.1177/0272989X9701700202.
  3. Naglie, G., M. D. Krahn, D. Naimark, D. A. Redelmeier, and A. S. Detsky. “Primer on Medical Decision Analysis: Part 3–Estimating Probabilities and Utilities.” Medical Decision Making: An International Journal of the Society for Medical Decision Making 17, no. 2 (1997): 136–41. https://doi.org/10.1177/0272989X9701700203.
  4. Krahn, M. D., G. Naglie, D. Naimark, D. A. Redelmeier, and A. S. Detsky. “Primer on Medical Decision Analysis: Part 4–Analyzing the Model and Interpreting the Results.” Medical Decision Making: An International Journal of the Society for Medical Decision Making 17, no. 2 (1997): 142–51. https://doi.org/10.1177/0272989X9701700204.
  5. Naimark, D., M. D. Krahn, G. Naglie, D. A. Redelmeier, and A. S. Detsky. “Primer on Medical Decision Analysis: Part 5–Working with Markov Processes.” Medical Decision Making: An International Journal of the Society for Medical Decision Making 17, no. 2 (1997): 152–59. https://doi.org/10.1177/0272989X9701700205.

Individual articles

  1. Owens, D. K., R. D. Shachter, and R. F. Nease. “Representation and Analysis of Medical Decision Problems with Influence Diagrams.” Medical Decision Making: An International Journal of the Society for Medical Decision Making 17, no. 3 (1997): 241–62. https://doi.org/10.1177/0272989X9701700301.
  2. Nease, R. F., and D. K. Owens. “Use of Influence Diagrams to Structure Medical Decisions.” Medical Decision Making: An International Journal of the Society for Medical Decision Making 17, no. 3 (1997): 263–75. https://doi.org/10.1177/0272989X9701700302.
  3. Sonnenberg, F. A., and J. R. Beck. “Markov Models in Medical Decision Making: A Practical Guide.” Medical Decision Making: An International Journal of the Society for Medical Decision Making 13, no. 4 (1993): 322–38. https://doi.org/10.1177/0272989X9301300409.
  4. Alarid-Escudero, Fernando, Eline Krijkamp, Eva A. Enns, et al. “A Tutorial on Time-Dependent Cohort State-Transition Models in R Using a Cost-Effectiveness Analysis Example.” Medical Decision Making: An International Journal of the Society for Medical Decision Making 43, no. 1 (2023): 21–41. https://doi.org/10.1177/0272989X221121747.
  5. Alarid-Escudero, Fernando, Eline Krijkamp, Eva A. Enns, et al. “An Introductory Tutorial on Cohort State-Transition Models in R Using a Cost-Effectiveness Analysis Example.” Medical Decision Making: An International Journal of the Society for Medical Decision Making 43, no. 1 (2023): 3–20. https://doi.org/10.1177/0272989X221103163.
  6. Jalal, Hawre, Petros Pechlivanoglou, Eline Krijkamp, Fernando Alarid-Escudero, Eva Enns, and M. G. Myriam Hunink. “An Overview of R in Health Decision Sciences.” Medical Decision Making: An International Journal of the Society for Medical Decision Making 37, no. 7 (2017): 735–46. https://doi.org/10.1177/0272989X16686559.
  7. Williams, Claire, James D. Lewsey, Andrew H. Briggs, and Daniel F. Mackay. “Cost-Effectiveness Analysis in R Using a Multi-State Modeling Survival Analysis Framework: A Tutorial.” Medical Decision Making: An International Journal of the Society for Medical Decision Making 37, no. 4 (2017): 340–52. https://doi.org/10.1177/0272989X16651869.