Complexity in Mathematical Models of Public Health Policies: A Guide for Consumers of Models

View/ Open
Published Version
https://doi.org/10.1371/journal.pmed.1001540Metadata
Show full item recordCitation
Basu, Sanjay, and Jason Andrews. 2013. “Complexity in Mathematical Models of Public Health Policies: A Guide for Consumers of Models.” PLoS Medicine 10 (10): e1001540. doi:10.1371/journal.pmed.1001540. http://dx.doi.org/10.1371/journal.pmed.1001540.Abstract
Sanjay Basu and colleagues explain how models are increasingly used to inform public health policy yet readers may struggle to evaluate the quality of models. All models require simplifying assumptions, and there are tradeoffs between creating models that are more “realistic” versus those that are grounded in more solid data. Indeed, complex models are not necessarily more accurate or reliable simply because they can more easily fit real-world data than simpler models can. Please see later in the article for the Editors' SummaryOther Sources
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3812083/pdf/Terms of Use
This article is made available under the terms and conditions applicable to Other Posted Material, as set forth at http://nrs.harvard.edu/urn-3:HUL.InstRepos:dash.current.terms-of-use#LAACitable link to this page
http://nrs.harvard.edu/urn-3:HUL.InstRepos:11879161
Collections
- HMS Scholarly Articles [17878]
Contact administrator regarding this item (to report mistakes or request changes)