Targeted maximum likelihood estimation of causal effects with interference: A simulation study.
interference
networks
peer effects
spillover effects
targeted maximum likelihood estimation
Journal
Statistics in medicine
ISSN: 1097-0258
Titre abrégé: Stat Med
Pays: England
ID NLM: 8215016
Informations de publication
Date de publication:
15 10 2022
15 10 2022
Historique:
revised:
20
06
2022
received:
21
04
2021
accepted:
28
06
2022
pubmed:
20
7
2022
medline:
21
9
2022
entrez:
19
7
2022
Statut:
ppublish
Résumé
Interference, the dependency of an individual's potential outcome on the exposure of other individuals, is a common occurrence in medicine and public health. Recently, targeted maximum likelihood estimation (TMLE) has been extended to settings of interference, including in the context of estimation of the mean of an outcome under a specified distribution of exposure, referred to as a policy. This paper summarizes how TMLE for independent data is extended to general interference (network-TMLE). An extensive simulation study is presented of network-TMLE, consisting of four data generating mechanisms (unit-treatment effect only, spillover effects only, unit-treatment and spillover effects, infection transmission) in networks of varying structures. Simulations show that network-TMLE performs well across scenarios with interference, but issues manifest when policies are not well-supported by the observed data, potentially leading to poor confidence interval coverage. Guidance for practical application, freely available software, and areas of future work are provided.
Identifiants
pubmed: 35852017
doi: 10.1002/sim.9525
pmc: PMC9489667
mid: NIHMS1820953
doi:
Types de publication
Journal Article
Research Support, U.S. Gov't, P.H.S.
Research Support, N.I.H., Extramural
Langues
eng
Sous-ensembles de citation
IM
Pagination
4554-4577Subventions
Organisme : NIAID NIH HHS
ID : T32 AI007001
Pays : United States
Organisme : NIAID NIH HHS
ID : R01 AI085073
Pays : United States
Organisme : NIBIB NIH HHS
ID : R01-EB025021
Pays : United States
Organisme : CDC HHS
ID : U01-CK000185
Pays : United States
Organisme : NICHD NIH HHS
ID : P2C-HD050924
Pays : United States
Organisme : NIH HHS
ID : R01-AI085073
Pays : United States
Organisme : NCEZID CDC HHS
ID : U01 CK000185
Pays : United States
Organisme : NICHD NIH HHS
ID : T32 HD091058
Pays : United States
Organisme : NIAID NIH HHS
ID : U01 AI103390
Pays : United States
Organisme : NICHD NIH HHS
ID : P2C HD050924
Pays : United States
Organisme : NHLBI NIH HHS
ID : U01 HL146194
Pays : United States
Organisme : NICHD NIH HHS
ID : T32-HD091058
Pays : United States
Organisme : NIBIB NIH HHS
ID : R01 EB025021
Pays : United States
Informations de copyright
© 2022 John Wiley & Sons Ltd.
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