This note's aim is to investigate the sensitivity of Christakis and Fowler's claim (NEJM July 26, 2007) that obesity has spread through social networks. It is well known in the economics literature that failure to include contextual effects can lead to spurious inference on social network...

BackgroundCurrent methods used in medical literatures to estimate social network effects of health outcomes may be biased to find these effects, even if none actually exist. ObjectiveTo investigate whether we detect network effects for health outcomes that are unlikely to be subject to network...

This note's aim is to investigate the sensitivity of Christakis and Fowler's claim [Christakis, N., Fowler, J., 2007. The spread of obesity in a large social network over 32 years. The New England Journal of Medicine 357, 370-379] that obesity has spread through social networks. It is well known...

This note’s aim is to investigate the sensitivity of Christakis and Fowler’s claim (NEJM July 26, 2007) that obesity has spread through social networks. It is well known in the economics literature that failure to include contextual effects can lead to spurious inference on “social network...