Using simulation and survival analysis to forecast outcomes and economic costs of the antiretroviral therapy programme in Zambia

Kabaso, Mushota (2015) Using simulation and survival analysis to forecast outcomes and economic costs of the antiretroviral therapy programme in Zambia. University of Southampton, School of Mathematics, Doctoral Thesis, 166pp.

Record type: Thesis (Doctoral)

Text

Mushota Kabaso PhD Thesis_ Final_Nov2015.pdf - Accepted Manuscript

Download (2MB)

More information

Published date: December 2015

Organisations: University of Southampton, Mathematical Sciences

Learn more about Mathematical Sciences research

Identifiers

Local EPrints ID: 385233

URI: http://eprints.soton.ac.uk/id/eprint/385233

PURE UUID: 26950721-1b26-4ab3-830d-76d67ce5af7f

ORCID for Christine Currie:

orcid.org/0000-0002-7016-3652

ORCID for Sally Brailsford:

orcid.org/0000-0002-6665-8230

Catalogue record

Date deposited: 08 Jan 2016 13:21

Last modified: 15 Mar 2024 03:15

Export record

Share this record

Share this on Facebook Share this on Twitter Share this on Weibo

Contributors

Author: Mushota Kabaso

Thesis advisor: Christine Currie

Thesis advisor: Sally Brailsford

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Library staff additional information

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.