Joint modeling of longitudinal and time to event data with application to tuberculosis research

dc.contributor.advisorBurger, Divan A.
dc.contributor.emailsnigrini1@gmail.comen_ZA
dc.contributor.postgraduateNigrini, Sharday
dc.date.accessioned2021-02-12T09:51:04Z
dc.date.available2021-02-12T09:51:04Z
dc.date.created2021-05-05
dc.date.issued2021
dc.descriptionMini Dissertation ( MSc (Advanced Data Analytics))--University of Pretoria, 2021.en_ZA
dc.description.abstractDue to tuberculosis (TB) being one of the top ten diseases in Africa with the highest mortality rate, a crucial objective is to find the appropriate medication to cure patients and prevent people from contracting the disease. Since this statistic is not improving sufficiently, it is evident that there is a need for new anti-TB drugs. One of the main challenges in developing new and effective drugs for the treatment of TB is to identify the combinations of effective drugs when subsequent testing of patients in pivotal clinical trials are performed. During the early weeks of the treatment of TB, trials of the early bactericidal activity assess the decline in colony-forming unit (CFU) count of Mycobacterium TB in the sputum of patients containing smear-microscopy-positive pulmonary TB. A previously published dataset containing CFU counts of treated patients over 56 days is used to perform joint modeling of the nonlinear data over time and the patients’ sputum culture conversion (i.e., the time-to-event outcome). It is clear from the results obtained that there is an association between the longitudinal and time-to-event outcomes.en_ZA
dc.description.availabilityRestricteden_ZA
dc.description.degreeMSc (Advanced Data Analytics)en_ZA
dc.description.departmentStatisticsen_ZA
dc.description.sponsorshipSouth African Medical Research Council (SAMRC)en_ZA
dc.identifier.citation*en_ZA
dc.identifier.otherA2021en_ZA
dc.identifier.urihttp://hdl.handle.net/2263/78510
dc.language.isoenen_ZA
dc.publisherUniversity of Pretoria
dc.rights© 2019 University of Pretoria. All rights reserved. The copyright in this work vests in the University of Pretoria. No part of this work may be reproduced or transmitted in any form or by any means, without the prior written permission of the University of Pretoria.
dc.subjectUCTDen_ZA
dc.subjectTuberculosisen_ZA
dc.subjectLongitudinalen_ZA
dc.subjectJoint modelingen_ZA
dc.subjectTime-to-eventen_ZA
dc.subjectColony-forming-uniten_ZA
dc.titleJoint modeling of longitudinal and time to event data with application to tuberculosis researchen_ZA
dc.typeMini Dissertationen_ZA

Files

Original bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
Nigrini_Joint_2021.pdf
Size:
2.12 MB
Format:
Adobe Portable Document Format
Description:
Mini Dissertation

License bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
license.txt
Size:
1.75 KB
Format:
Item-specific license agreed upon to submission
Description: