Accepting PhD Students

PhD projects

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20122023

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Personal profile

Biography

Jessica Kasza is an Associate Professor in biostatistics in the School of Public Health and Preventive Medicine at Monash University. After completing a PhD in 2010 at the University of Adelaide, she spent time at the University of Copenhagen, before returning to the University of Adelaide. She has been at Monash University since 2013. She leads the development of statistical methodology for longitudinal cluster randomised trials, including the stepped wedge and cluster cross over designs. She also has interests in the comparison of healthcare providers and causal inference. She is currently the Vice President of the Statistical Society of Australia, and was the President from 2020-2022. In her role within the Statistical Society of Australia, Jessica is keen to ensure that the Australian statistical community is safe, welcoming and inclusive.

Research interests

I'm interested in developing theory for longitudinal cluster randomised trials, causal inference, and healthcare provider comparison. Within the area of longitudinal cluster randomised trials, I'm interested in developing more accurate within-cluster correlation structures, more efficient trial designs, and developing causal inference methodology for cluster randomised trials. 

Expertise related to UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):

  • SDG 3 - Good Health and Well-being

Education/Academic qualification

Statistics, PhD, University of Adelaide

Award Date: 1 Mar 2010

Statistics , Bachelor of Mathematical and Computer Sciences (Honours), University of Adelaide

Award Date: 15 Dec 2005

Statistics, Pure Mathematics, Bachelor of Science in the School of Mathematical and Computer Sciences, University of Adelaide

Award Date: 21 Dec 2004

Research area keywords

  • Biostatistics
  • causal inference
  • Cluster randomised trials
  • stepped wedge
  • healthcare provider comparison

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