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Comment on "Why and When 'Flawed' Social Network Analyses Still Yield Valid Tests of no Contagion"

Author

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  • Shalizi Cosma Rohilla

    (Carnegie Mellon University)

Abstract

VanderWeele et al.'s paper is a useful contribution to the on-going scientific conversation about the detection of contagion from purely observational data. It is especially helpful as a corrective to some of the more extreme statements of Lyons (2011). Unfortunately, this paper, too, goes too far in some places, and so needs some correction itself.

Suggested Citation

  • Shalizi Cosma Rohilla, 2012. "Comment on "Why and When 'Flawed' Social Network Analyses Still Yield Valid Tests of no Contagion"," Statistics, Politics and Policy, De Gruyter, vol. 3(1), pages 1-5, February.
    • Handle: RePEc:bpj:statpp:v:3:y:2012:i:1:p:5:n:6
    DOI: 10.1515/2151-7509.1053
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    References listed on IDEAS

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    1. Tyler J. VanderWeele, 2011. "Sensitivity Analysis for Contagion Effects in Social Networks," Sociological Methods & Research, , vol. 40(2), pages 240-255, May.
    2. Cosma Rohilla Shalizi & Andrew C. Thomas, 2011. "Homophily and Contagion Are Generically Confounded in Observational Social Network Studies," Sociological Methods & Research, , vol. 40(2), pages 211-239, May.
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