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Development and validation of the microbial source tracking method based on E.coli as a standard indicator of water qualityMargaret I Rolfe PhD 2006 - 2010 
Faculty Faculty of Science and Technology Supervisor/s Prof Kerrie Mengersen, Dr Helen Johnson Thesis Abstract This research will cover two distinct areas with the development of statistical methodology and an application to biostatistical data. It is intended that this work will feed in to the determination of criteria for optimising sampling plans and experimental designs for longitudinal studies within a Bayesian framework, with particular regards to clinical trials.
The application to biostatistical data will be on the Wesley Hospital Breast Cancer Cognition Study. This study is designed to assess the impact of adjuvant cytotoxic drug treatment (chemotherapy) on cognitive function in women with early stages of breast cancer, with the aim of determining cognitive function profiles for measurements at four time points up to 18 months after treatment. The identification of mixtures or subgroups of these profiles, and the inclusion of mediating variables, will assist in identifying patients at risk of long-term cognitive impairment. Analyses to date have been restricted to the frequentist framework, on univariate outcomes of auditory verbal learning and memory using hierarchical linear and quadratic growth models, piecewise linear growth models and growth mixture models, with mediating covariates. |
