Title Information
Title
Analytic Methods for Network Data
Name: Personal
Name Part
Ott, Miles Q
Role
Role Term: Text
creator
Origin Information
Copyright Date
2014
Physical Description
Extent
16, 100 p.
digitalOrigin
born digital
Note
Thesis (Ph.D. -- Brown University (2014)
Name: Personal
Name Part
Hogan, Joseph
Role
Role Term: Text
Director
Name: Personal
Name Part
Harrison, Matthew
Role
Role Term: Text
Reader
Name: Personal
Name Part
Barnett, Nancy
Role
Role Term: Text
Reader
Name: Personal
Name Part
Gile, Krista
Role
Role Term: Text
Reader
Name: Corporate
Name Part
Brown University. BIOMED: Biostatistics
Role
Role Term: Text
sponsor
Genre (aat)
theses
Abstract
This dissertation presents methods for statistical analysis of social network data. First, we develop a Bayesian hierarchical model that calibrates self and peer-reports in order to synthesize information collected from multiple sources in the social network context. Secondly we demonstrate how current methods for analyzing fixed choice design social network data can induce biases. We propose a new survey design which collects information on the total number of relationships. Lastly, we investigate how assumptions in prevalence estimation in network sampling designs can produce biased estimates and introduce a new prevalence estimator for network sampling studies that offers considerable improvement over existing estimators.
Subject
Topic
respondent-driven sampling
Subject
Topic
Bayesian calibration
Subject
Topic
augmented fixed choice design
Subject (FAST) (authorityURI="http://id.worldcat.org/fast", valueURI="http://id.worldcat.org/fast/1122678")
Topic
Social networks
Record Information
Record Content Source (marcorg)
RPB
Record Creation Date (encoding="iso8601")
20141006
Language
Language Term: Code (ISO639-2B)
eng
Language Term: Text
English
Identifier: DOI
10.7301/Z0NZ8604
Access Condition: rights statement (href="http://rightsstatements.org/vocab/InC/1.0/")
In Copyright
Access Condition: restriction on access
Collection is open for research.
Type of Resource (primo)
dissertations