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Estimating peer effects in longitudinal dyadic data using instrumental variables
Authors:A James O'Malley  Felix Elwert  J Niels Rosenquist  Alan M Zaslavsky  Nicholas A Christakis
Institution:1. The Dartmouth Institute for Health Policy and Clinical Practice, Geisel School of Medicine at Dartmouth, , Lebanon, New Hampshire 03766, U.S.A.;2. Department of Sociology, Center for Demography and Ecology, University of Wisconsin‐Madison, , Madison, Wisconsin 53706, U.S.A.;3. Department of Psychiatry, Massachusetts General Hospital, , Boston, Massachusetts 02114, U.S.A.;4. Department of Health Care Policy, Harvard Medical School, , Boston, Massachusetts 02115, U.S.A.;5. Department of Sociology, Yale Institute for Network Science, Yale University, , New Haven, Connecticut 06520, U.S.A.
Abstract:
Keywords:Body‐mass index  Causality  Directed acyclic graphs  Dyad  Genes  Homophily  Instrumental variable  Longitudinal  Mendelian randomization  Peer effect  Social network  Two‐stage least squares
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