A nonparametric sensitivity framework supplies bounds on the controlled direct effect of contagion in fixed-in-time networks by quantifying the latent homophily strength required to explain away observed connected-dyad associations, with a simulation study and application to 2008 U.S. House TARP vot
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A Sensitivity Framework for Identifying Contagion under Latent Homophily for Fixed-in-Time Network Analyses, with an Application to U.S. House Congressional Voting
A nonparametric sensitivity framework supplies bounds on the controlled direct effect of contagion in fixed-in-time networks by quantifying the latent homophily strength required to explain away observed connected-dyad associations, with a simulation study and application to 2008 U.S. House TARP vot