2007
DOI: 10.1057/palgrave.jors.2602230
|View full text |Cite
|
Sign up to set email alerts
|

Choice of modelling technique for evaluating health care interventions

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1

Citation Types

0
61
0

Year Published

2009
2009
2018
2018

Publication Types

Select...
5
3
1

Relationship

1
8

Authors

Journals

citations
Cited by 59 publications
(62 citation statements)
references
References 48 publications
0
61
0
Order By: Relevance
“…Additionally, development of a DES model might sometimes be quicker for a larger decision problem, because of the so-called 'curse of dimensionality'. 52 To represent very large decision problems, with multiple subgroups of patients and treatment pathways, aggregate models can require a huge number of health states. For example, Weinstein and colleagues' CHD policy model stratified patients into 5400 different subgroups, on the basis of differing risk factors.…”
Section: Risks and Benefits Of Pathway Modellingmentioning
confidence: 99%
“…Additionally, development of a DES model might sometimes be quicker for a larger decision problem, because of the so-called 'curse of dimensionality'. 52 To represent very large decision problems, with multiple subgroups of patients and treatment pathways, aggregate models can require a huge number of health states. For example, Weinstein and colleagues' CHD policy model stratified patients into 5400 different subgroups, on the basis of differing risk factors.…”
Section: Risks and Benefits Of Pathway Modellingmentioning
confidence: 99%
“…Barton and colleagues 105 and Cooper and colleagues 106 provide overviews of the reasons for selecting between the different modelling techniques. They advocate the use of decision trees and Markov chains where possible, and recommend that discrete event simulation (DES) be used if the interaction between individuals or between individuals and the environment is important.…”
Section: Selecting a Model Typementioning
confidence: 99%
“…107,108 It can describe interactions when, for example, the use of resources is dependent on decisions about individuals or interaction between individuals or when comparing different queuing systems or identifying bottlenecks in a system. 106,108 However, DES models often require more data than other models and are more computationally complex.…”
Section: Selecting a Model Typementioning
confidence: 99%
“…In this area, van der Zee (2003) reviews approaches to using simulation modelling to investigate scheduling of batch operations in manufacturing, Angerhofer and Angelides (2000) review the use of systems dynamics to investigate management issues in supply chains, and Kremer and Hancock (2006) review process modelling efforts which have been developed to investigate the fundamental physical processes underlying the manufacture and delivery of pharmaceutical dosage forms. In health care, Brailsford (2007) discusses issues relating to advances and challenges in simulation and health care, Eldabi et al (2007) consider the future of the area against past research , Cooper et al (2007) review the range of possible modelling techniques that can be used in this area, and Jun et al (1999) review discrete-event simulation in health care clinics. In a study of how organisms function on the molecular level in relation to gene expression, de Jong (2002) reviews formalisms that have been employed in mathematical biology and bioinformatics to describe genetic regulatory systems and how these formalisms have been used in the simulation modelling of the behavior of actual regulatory systems.…”
Section: Studies Of Simulation Modelling Literaturementioning
confidence: 99%