Statistics from Altmetric.com
We read with interest the recent paper from Bouttell and colleagues on the use of synthetic control methodology (SCM) as a tool for the evaluation of population-level health interventions.1
We welcome and support their conclusion that these methods provide a valuable addition to the methodological arsenal of those undertaking evaluations of public health, and other, interventions where randomisation is not possible or practical, or retrospectively where the opportunity for randomisation was missed. We echo their call for other researchers to adopt these methods more widely.
Contributors FdV and CA conceived of the letter and wrote the first draft. All authors commented on draft versions and approved the final version.
Funding This research received no specific grant from any funding agency in the public, commercial or not-for-profit sectors.
Competing interests None declared.
Patient consent Not required.
Provenance and peer review Not commissioned; internally peer reviewed.
If you wish to reuse any or all of this article please use the link below which will take you to the Copyright Clearance Center’s RightsLink service. You will be able to get a quick price and instant permission to reuse the content in many different ways.