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Sarah Pirikahu

Doctor of Philosophy, (Statistics)
Study Completed: 2019
College of Sciences

Citation

Thesis Title
Statistical Inference for Population Based Measures of Risk Reduction

Read article at Massey Research Online: MRO icon

Epidemiologists often wish to determine the population impact of an intervention to remove or reduce a risk factor. Population attributable measures provide a means of assessing this impact in a way that is accessible for a non-statistical audience. To apply these concepts to real-world data confidence intervals are required which take into account study design and any sources of uncertainty. Ms Pirikahu developed Bayesian methods for estimating population attributable risks and their credible intervals for commonly used, as well as more complex, epidemiological studies. The methods developed throughout her research will allow epidemiologists to provide greater insight in relation to risk factors for disease.

Supervisors
Professor Geoff Jones
Professor Cord Heuer
Professor Martin Hazelton

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