Evaluating distributional regression strategies for modelling self-reported sexual age-mixing

Evaluating distributional regression strategies for modelling self-reported sexual age-mixing

The age dynamics of sexual partnership formation determine patterns of sexually transmitted disease transmission and have long been a focus of researchers studying human immunodeficiency virus. Data on self-reported sexual partner age distributions are available from a variety of sources. We sought...

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Bibliographic Details
Main Authors: Timothy M Wolock, Seth Flaxman, Kathryn A Risher, Tawanda Dadirai, Simon Gregson, Jeffrey W Eaton
Format: Article
Language:English
Published: eLife Sciences Publications Ltd 2021-06-01
Series:eLife
Subjects:
sexual behaviour
age mixing
bayesian statistics
sinh-arcsinh distribution
distributional regression
Online Access:https://elifesciences.org/articles/68318

Internet

https://elifesciences.org/articles/68318

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