Literature DB >> 25609398

Economic evaluations with agent-based modelling: an introduction.

Jagpreet Chhatwal1, Tianhua He.   

Abstract

Agent-based modelling (ABM) is a relatively new technique, which overcomes some of the limitations of other methods commonly used for economic evaluations. These limitations include linearity, homogeneity and stationarity. Agents in ABMs are autonomous entities, who interact with each other and with the environment. ABMs provide an inductive or 'bottom-up' approach, i.e. individual-level behaviours define system-level components. ABMs have a unique property to capture emergence phenomena that otherwise cannot be predicted by the combination of individual-level interactions. In this tutorial, we discuss the basic concepts and important features of ABMs. We present a case study of an application of a simple ABM to evaluate the cost effectiveness of screening of an infectious disease. We also provide our model, which was developed using an open-source software program, NetLogo. We discuss software, resources, challenges and future research opportunities of ABMs for economic evaluations.

Entities:  

Mesh:

Year:  2015        PMID: 25609398     DOI: 10.1007/s40273-015-0254-2

Source DB:  PubMed          Journal:  Pharmacoeconomics        ISSN: 1170-7690            Impact factor:   4.981


  29 in total

1.  Adaptive agents, intelligence, and emergent human organization: capturing complexity through agent-based modeling.

Authors:  Brian J L Berry; L Douglas Kiel; Euel Elliott
Journal:  Proc Natl Acad Sci U S A       Date:  2002-05-07       Impact factor: 11.205

2.  Epidemiology. Controlling smallpox.

Authors:  Jim Koopman
Journal:  Science       Date:  2002-11-15       Impact factor: 47.728

3.  Population- versus cohort-based modelling approaches.

Authors:  Olivier Ethgen; Baudouin Standaert
Journal:  Pharmacoeconomics       Date:  2012-03       Impact factor: 4.981

4.  Discrete event simulation: the preferred technique for health economic evaluations?

Authors:  Jaime J Caro; Jörgen Möller; Denis Getsios
Journal:  Value Health       Date:  2010-09-03       Impact factor: 5.725

5.  Probabilistic sensitivity analysis for NICE technology assessment: not an optional extra.

Authors:  Karl Claxton; Mark Sculpher; Chris McCabe; Andrew Briggs; Ron Akehurst; Martin Buxton; John Brazier; Tony O'Hagan
Journal:  Health Econ       Date:  2005-04       Impact factor: 3.046

6.  Increasing the efficiency of Monte Carlo cohort simulations with variance reduction techniques.

Authors:  Steven M Shechter; Andrew J Schaefer; R Scott Braithwaite; Mark S Roberts
Journal:  Med Decis Making       Date:  2006 Sep-Oct       Impact factor: 2.583

7.  Modeling using discrete event simulation: a report of the ISPOR-SMDM Modeling Good Research Practices Task Force-4.

Authors:  Jonathan Karnon; James Stahl; Alan Brennan; J Jaime Caro; Javier Mar; Jörgen Möller
Journal:  Med Decis Making       Date:  2012 Sep-Oct       Impact factor: 2.583

8.  Dynamic transmission modeling: a report of the ISPOR-SMDM Modeling Good Research Practices Task Force--5.

Authors:  Richard Pitman; David Fisman; Gregory S Zaric; Maarten Postma; Mirjam Kretzschmar; John Edmunds; Marc Brisson
Journal:  Value Health       Date:  2012 Sep-Oct       Impact factor: 5.725

9.  Model transparency and validation: a report of the ISPOR-SMDM Modeling Good Research Practices Task Force-7.

Authors:  David M Eddy; William Hollingworth; J Jaime Caro; Joel Tsevat; Kathryn M McDonald; John B Wong
Journal:  Med Decis Making       Date:  2012 Sep-Oct       Impact factor: 2.583

10.  FRED (a Framework for Reconstructing Epidemic Dynamics): an open-source software system for modeling infectious diseases and control strategies using census-based populations.

Authors:  John J Grefenstette; Shawn T Brown; Roni Rosenfeld; Jay DePasse; Nathan T B Stone; Phillip C Cooley; William D Wheaton; Alona Fyshe; David D Galloway; Anuroop Sriram; Hasan Guclu; Thomas Abraham; Donald S Burke
Journal:  BMC Public Health       Date:  2013-10-08       Impact factor: 3.295

View more
  15 in total

1.  Myths and Misconceptions of Within-Cycle Correction: A Guide for Modelers and Decision Makers.

Authors:  Elamin H Elbasha; Jagpreet Chhatwal
Journal:  Pharmacoeconomics       Date:  2016-01       Impact factor: 4.981

Review 2.  Discrete Event Simulation-Based Resource Modelling in Health Technology Assessment.

Authors:  Syed Salleh; Praveen Thokala; Alan Brennan; Ruby Hughes; Simon Dixon
Journal:  Pharmacoeconomics       Date:  2017-10       Impact factor: 4.981

3.  Addressing Challenges of Economic Evaluation in Precision Medicine Using Dynamic Simulation Modeling.

Authors:  Deborah A Marshall; Luiza R Grazziotin; Dean A Regier; Sarah Wordsworth; James Buchanan; Kathryn Phillips; Maarten Ijzerman
Journal:  Value Health       Date:  2020-03-26       Impact factor: 5.725

4.  Representing Tuberculosis Transmission with Complex Contagion: An Agent-Based Simulation Modeling Approach.

Authors:  Erin D Zwick; Caitlin S Pepperell; Oguzhan Alagoz
Journal:  Med Decis Making       Date:  2021-04-27       Impact factor: 2.583

Review 5.  Systematic Review of Modelling Approaches for the Cost Effectiveness of Hepatitis C Treatment with Direct-Acting Antivirals.

Authors:  Jagpreet Chhatwal; Tianhua He; Maria A Lopez-Olivo
Journal:  Pharmacoeconomics       Date:  2016-06       Impact factor: 4.981

6.  Prevention of Hepatitis C by Screening and Treatment in U.S. Prisons.

Authors:  Tianhua He; Kan Li; Mark S Roberts; Anne C Spaulding; Turgay Ayer; John J Grefenstette; Jagpreet Chhatwal
Journal:  Ann Intern Med       Date:  2015-11-24       Impact factor: 25.391

7.  Complex systems approach to scientific publication and peer-review system: development of an agent-based model calibrated with empirical journal data.

Authors:  Michail Kovanis; Raphaël Porcher; Philippe Ravaud; Ludovic Trinquart
Journal:  Scientometrics       Date:  2015-12-10       Impact factor: 3.238

8.  Dealing with Time in Health Economic Evaluation: Methodological Issues and Recommendations for Practice.

Authors:  James F O'Mahony; Anthony T Newall; Joost van Rosmalen
Journal:  Pharmacoeconomics       Date:  2015-12       Impact factor: 4.981

9.  Deriving effective vaccine allocation strategies for pandemic influenza: Comparison of an agent-based simulation and a compartmental model.

Authors:  Özden O Dalgıç; Osman Y Özaltın; William A Ciccotelli; Fatih S Erenay
Journal:  PLoS One       Date:  2017-02-21       Impact factor: 3.240

10.  NETIMIS: Dynamic Simulation of Health Economics Outcomes Using Big Data.

Authors:  Owen A Johnson; Peter S Hall; Claire Hulme
Journal:  Pharmacoeconomics       Date:  2016-02       Impact factor: 4.981

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.