Interpretation of the Individual Effect Under Treatment Spillover

Author:

Crawford Forrest W123,Morozova Olga1,Buchanan Ashley L4ORCID,Spiegelman Donna156

Affiliation:

1. Department of Biostatistics, School of Public Health, Yale University, New Haven, Connecticut

2. Department of Ecology and Evolutionary Biology, Graduate School of Arts and Sciences, Yale University, New Haven, Connecticut

3. School of Management, Yale University, New Haven, Connecticut

4. Department of Pharmacy Practice, College of Pharmacy, University of Rhode Island, Kingston, Rhode Island

5. Department of Statistics and Data Science, Graduate School of Arts and Sciences, Yale University, New Haven, Connecticut

6. Center for Methods of Implementation and Prevention Science, School of Public Health, Yale University, New Haven, Connecticut

Abstract

Abstract Some interventions are intended to benefit both individuals and the groups to which they belong. When a treatment given to one person exerts a causal effect on others, the treatment is said to exhibit spillover, dissemination, or interference. However, defining meaningful causal effects under spillover can be challenging. In this commentary, we discuss the meaning of the “individual effect,” a quantity proposed to summarize the effect of treatment on the person who receives it, when spillover may be present.

Funder

National Institutes of Health

Publisher

Oxford University Press (OUP)

Subject

Epidemiology

Reference16 articles.

1. Spillover effects in epidemiology: parameters, study designs and methodological considerations;Benjamin-Chung;Int J Epidemiol,2017

2. Network multipliers and public health;VanderWeele;Int J Epidemiol

3. Assessing individual and disseminated effects in network-randomized studies;Buchanan;Am J Epidemiol,2018

4. Toward causal inference with interference;Hudgens;J Am Stat Assoc,2008

5. Effect partitioning under interference in two-stage randomized vaccine trials;VanderWeele;Stat Probab Lett,2011

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