Advanced search options

Advanced Search Options 🞨

Browse by author name (“Author name starts with…”).

Find ETDs with:

in
/  
in
/  
in
/  
in

Written in Published in Earliest date Latest date

Sorted by

Results per page:

You searched for +publisher:"University of Adelaide" +contributor:("Bent, Stephen"). One record found.

Search Limiters

Last 2 Years | English Only

No search limiters apply to these results.

▼ Search Limiters


University of Adelaide

1. Leemaqz, Shalem Yiner-Lee. Predicting risk for pregnancy complications.

Degree: 2015, University of Adelaide

For years, it has been a challenge to identify women at risk of Preeclampsia (PE) and Preterm Birth (PTB), one of the leading causes of maternal and perinatal morbidity and mortality. Despite an increasing number of clinical and statistical prediction models being developed, which have been shown to outperform traditional approaches based on maternal history, due to complex underlying relationships and gene-environment interactions, identifying women at risk based on a single time-point, especially during early stages of pregnancy, remains a challenge. Therefore, this study not only aims to identify potential predictors for pregnancy outcomes and develop prediction models based on combinations of clinical measurements and Single-nucleotide polymorphisms (SNP) predictors, but also to establish a tiered prediction system by integrating risk estimates at various stage of pregnancy. This thesis contains both theoretical development and practical application of the models, with results of best models written as manuscripts for future publication. Critical issues in real-life statistical analysis, including subgroup differences, and model and variable selection (with FDR control) were discussed, as well as novel strategies on the tiered prediction model development. The results from tiered models provide prediction for PE and spontaneous preterm birth (SPTB) that not only outperform traditional approaches, but also provide an earlier prediction applicable to all pregnant women, including healthy nulliparous women. This approach also allows for regular monitoring and revision of predicted risk throughout pregnancy. This may assist in providing tailored antenatal care or interventions that could benefit both the mother and child, and to avoid unnecessary interventions for low-risk individuals, while modifiable predictors could also be addressed to reduce the risk or severity of PE or PTB. Advisors/Committee Members: Roberts, Claire Trelford (advisor), Dekker, Gustaaf Albert (advisor), Bent, Stephen (advisor), School of Paediatrics and Reproductive Health (school).

Subjects/Keywords: preeclampsia; preterm birth; prediction; Research by Publication

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Leemaqz, S. Y. (2015). Predicting risk for pregnancy complications. (Thesis). University of Adelaide. Retrieved from http://hdl.handle.net/2440/105548

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Leemaqz, Shalem Yiner-Lee. “Predicting risk for pregnancy complications.” 2015. Thesis, University of Adelaide. Accessed August 18, 2019. http://hdl.handle.net/2440/105548.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Leemaqz, Shalem Yiner-Lee. “Predicting risk for pregnancy complications.” 2015. Web. 18 Aug 2019.

Vancouver:

Leemaqz SY. Predicting risk for pregnancy complications. [Internet] [Thesis]. University of Adelaide; 2015. [cited 2019 Aug 18]. Available from: http://hdl.handle.net/2440/105548.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Leemaqz SY. Predicting risk for pregnancy complications. [Thesis]. University of Adelaide; 2015. Available from: http://hdl.handle.net/2440/105548

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

.