Change search
ReferencesLink to record
Permanent link

Direct link
Estimation of causal effects in observational studies with interference between units
Umeå University, Faculty of Social Sciences, Umeå School of Business and Economics (USBE), Statistics.
Umeå University, Faculty of Social Sciences, Umeå School of Business and Economics (USBE), Statistics.
2014 (English)In: Statistical Methods & Applications, ISSN 1618-2510, EISSN 1613-981X, Vol. 23, no 3, 417-433 p.Article in journal (Refereed) Published
Abstract [en]

Causal effects are usually estimated under the assumption of no interference between individuals. This assumption means that the potential outcomes for one individual are unaffected by the treatments received by other individuals. In many situations, this is not reasonable to assume. Moreover, not taking interference into account could result in misleading conclusions about the effect of a treatment. For two-stage observational studies, where treatment assigment is randomized in the first stage but not in the second stage, we propose IPW estimators of direct and indirect causal effects as defined by Hudgens and Halloran (J Am Stat Assoc 103(482):832–842, 2008) for two-stage randomized studies. We illustrate the use of these estimators in an evaluation study of an implementation of Triple P (a parenting support program) within preschools in Uppsala, Sweden.

Place, publisher, year, edition, pages
Berlin/Heidelberg: Springer Berlin/Heidelberg, 2014. Vol. 23, no 3, 417-433 p.
Keyword [en]
Causal inference, Direct and indirect effects, Interference, IPW, Neighborhood effect, Observational studies, Spillover effect, SUTVA, Two-stage randomization
National Category
Probability Theory and Statistics
Research subject
URN: urn:nbn:se:umu:diva-86671DOI: 10.1007/s10260-014-0257-8OAI: diva2:700326
Available from: 2014-03-04 Created: 2014-03-04 Last updated: 2014-09-11Bibliographically approved

Open Access in DiVA

No full text

Other links

Publisher's full text

Search in DiVA

By author/editor
Lundin, MathiasKarlsson, Maria
By organisation
Probability Theory and Statistics

Search outside of DiVA

GoogleGoogle Scholar
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

Altmetric score

Total: 109 hits
ReferencesLink to record
Permanent link

Direct link