Nonresponse

Analysis of Networks with Missing Data with Application to the National Longitudinal Study of Adolescent Health

It is common in the analysis of social network data to assume a census of the networked population of interest. Often the observations are subject to partial observation due to a known sampling or unknown missing data mechanism. However, most …

Resolving Contested Elections: The Limited Power of Post-Vote Vote Choice Data

In close elections, the losing side has an incentive to obtain evidence that the election result is incorrect. Sometimes this evidence comes in the form of court testimony from a sample of invalid voters, and this testimony is used to adjust vote …

Model-based Assessment of the Impact of Missing Data on Inference for Networks

Most inference using social network models assumes that the presence or absence of all relations is known. This is rarely the case. Most social network analysis ignores the problem of missing data by including only actors with complete observations. …