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Comment on "Why and When 'Flawed' Social Network Analyses Still Yield Valid Tests of no Contagion"
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Cosma Rohilla Shalizi
Veröffentlicht/Copyright:
13. Februar 2012
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.
Published Online: 2012-2-13
©2012 Walter de Gruyter GmbH & Co. KG, Berlin/Boston
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Artikel in diesem Heft
- Article
- Improving Statistical Inference with Clustered Data
- Major Contributions to Quantitative Economics Sponsored by the Defense Community
- Problems with Tests of the Missingness Mechanism in Quantitative Policy Studies
- Climate Statistics and Public Policy
- Commentary and Ideas
- Data, Statistics, and Controversy: Making Science Research Data Intelligible
- Response or Comment
- Why and When "Flawed" Social Network Analyses Still Yield Valid Tests of no Contagion
- Comment on "Why and When 'Flawed' Social Network Analyses Still Yield Valid Tests of no Contagion"
