학술논문
Degree Distributions in Sexual Networks: A Framework for Evaluating Evidence.
Document Type
Article
Source
Subject
*SEXUALLY transmitted diseases
*EPIDEMIOLOGY
*MEDICAL model
*PREDICTION models
*BAYESIAN analysis
*THEORY of distributions (Functional analysis)
*STATISTICAL hypothesis testing
*MEDICAL research
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Language
ISSN
0148-5717
Abstract
The article focuses on the study based on statistical framework for degree distribution and sexually transmitted infection (STI) epidemic predictions in the U.S. It stated that the statistical framework will test the fit of power-law and alternative social process models which is compared via Akaike Information Criterion and Bayesian Information Criterion. The study showed that formal goodness-of-fit tests do not consistently identify any model as the best all around fit to the U.S. data. Furthermore, it is suggested that better models are needed to represent the behavioral basis of sexual networks.