Estimating peer effects in longitudinal dyadic data using instrumental variables

DOI10.1111/biom.12172zbMath1299.92029OpenAlexW2170444996WikidataQ30811153 ScholiaQ30811153MaRDI QIDQ2927599

Alan M. Zaslavsky, Felix Elwert, N. Christakis, J. Niels Rosenquist, A. James O'Malley

Publication date: 4 November 2014

Published in: Biometrics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1111/biom.12172

zbMATH Keywords

longitudinalinstrumental variablecausalitysocial networkdirected acyclic graphstwo-stage least squareshomophilyMendelian randomizationgenesdyadpeer effectbody-mass index

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Social networks; opinion dynamics (91D30) Medical applications (general) (92C50)

Related Items (3)

The Landscape of Causal Inference: Perspective From Citation Network Analysis ⋮ Network Dependence Can Lead to Spurious Associations and Invalid Inference ⋮ Regression‐based negative control of homophily in dyadic peer effect analysis

Cites Work

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• On instrumental variables estimation of causal odds ratios
• Assumptions of IV methods for observational epidemiology
• Peer Effects with Random Assignment: Results for Dartmouth Roommates
• Identification of Causal Effects Using Instrumental Variables
• Instrumental Variables Regression with Independent Observations
• Causal diagrams for empirical research
• Mendelian randomization as an instrumental variable approach to causal inference

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