Document Type
Article
Publication Date
1-2019
Publication Title
Biostatistics
Volume
20
Issue
1
Abstract
The statistical analysis of social networks is increasingly used to understand social processes and patterns. The association between social relationships and individual behaviors is of particular interest to sociologists, psychologists, and public health researchers. Several recent network studies make use of the fixed choice design (FCD), which induces missing edges in the network data. Because of the complex dependence structure inherent in networks, missing data can pose very difficult problems for valid statistical inference. In this article, we introduce novel methods for accounting for the FCD censoring and introduce a new survey design, which we call the augmented fixed choice design (AFCD). The AFCD adds considerable information to analyses without unduly burdening the survey respondent, resulting in improvements over the FCD, and other existing estimators. We demonstrate this new method through simulation studies and an analysis of alcohol use in a network of undergraduate students living in a residence hall.
First Page
97
Last Page
110
Recommended Citation
Ott, Miles Q.; Harrison, Matthew T.; Gile, Krista J.; Barnett, Nancy P.; and Hogan, Joseph W., "Fixed Choice Design and Augmented Fixed Choice Design for Network Data with Missing Observations" (2019). Statistical and Data Sciences: Faculty Publications, Smith College, Northampton, MA.
https://scholarworks.smith.edu/sds_facpubs/11
Digital Object Identifier (DOI)
doi: 10.1093/biostatistics/kxx066
Rights
© The Author 2017
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.
Comments
Peer reviewed accepted manuscript.