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Course: Modeling in Health Technology Assessment

This course is primarily intended for PhD students, but open to Research Master and Master students GSMS and Pharmacy with sufficient background knowledge.

Objective: Students will learn to design, implement, and analyze health economic decision models. They will learn to judge what input data are needed to populate their model and from what sources these can be obtained. An introduction will be given to several statistical techniques needed to obtain useful input data and to analyze the model output. Insight into the role of sensitivity analysis and the different options for this will be given.

Learning outcomes: 
- Ability to critically review model-based economic evaluations and results.
- Ability to develop and program a (simple) health economic decision model.
- Ability to use a health economic decision model for performing cost-effectiveness analysis and interpret the outcomes.
- Ability to undertake relevant validation and sensitivity checks.

Description:   During the week, the book of Briggs et al. will be studied intensively, by having interactive lessons. Practical work will also be included with smaller exercises, as well as working on building a simple but complete health economic decision model. Topics to be addressed include among others. The role of models and especially health economic decision models. Different types ofmodels (decision trees, Markov, patient level models). Criteria for a well developed and reported model. Model validation. Available software. Interpretation of results, taxonomy of uncertainty, Monte Carlo simulation, and value of information analysis.

Entry Requirement     
Excel; Statistics; Course ‘ Health technology assessment and economic evaluation’ or similar level of basic HTA knowledge. In case of doubt please contact the course coordinator.

Material 
Compulsory: A Briggs, K Claxton, M Sculpher. Decision Modelling for Health Economic Evaluation [Paperback]. Oxford Press, Oxford, UK, 2006.

Chapters 6 and further are optional. Chapters 1-5 are compulsory.

Additional material to be reached out through Nestor concerning patient level modeling: DSU Survival Analysis; DSU patient level modeling

Background reading
Modeling good research practices--overview: a report of the ISPOR-SMDM Modeling Good Research Practices Task Force--1.Caro JJ, Briggs AH, Siebert U, Kuntz KM; ISPOR-SMDM Modeling Good Research Practices Task Force. Value Health. 2012 Sep-Oct;15(6):796-803. doi: 10.1016/j.jval.2012.06.012.

Conceptualizing a model: a report of the ISPOR-SMDM Modeling Good Research Practices Task Force--2. Roberts M, Russell LB, Paltiel AD, Chambers M, McEwan P, Krahn M; ISPOR-SMDM Modeling Good Research Practices Task Force. Value Health. 2012 Sep-Oct;15(6):804-11. doi: 10.1016/j.jval.2012.06.016.

State-transition modeling: a report of the ISPOR-SMDM Modeling Good Research Practices Task Force--3. Siebert U, Alagoz O, Bayoumi AM, Jahn B, Owens DK, Cohen DJ, Kuntz KM; ISPOR-SMDM Modeling Good Research Practices Task Force. Value Health. 2012 Sep-Oct;15(6):812-20. doi: 10.1016/j.jval.2012.06.014.

All articles will be placed on Nestor, but can also be found through the library (electronic journals). 

Evaluation 
Assignment and oral presentation

Schedule 2020
tbd

Date

June 8–21, 2020

Time

to be announced

EC (with exam)

2.5

Location address

see Schedule and contents
Groningen

Course coordinator

  • Talitha Feenstra, PhD

Language

English

Target Groups

  • PhD students
  • ReMa students

Vacancies

enough

Registration

Register now

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