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VCCC Alliance Biostatistics Online Workshop

Learn how to interpret the reporting of statistical results in clinical studies. Explore beyond the simple how-to of statistical testing to delve into what is the research question, what is being estimated and interpretation of confidence intervals and p-values.

 

What is the difference between statistical significance and clinical significance and how do you make decisions about the real-world relevance of either? 

Designed for the non-statistician, it will explore ideas such as:eDM Schedule

  • Kicking off your research: how to craft a well-defined research question
  • Effect size and confidence intervals, continuous outcomes
  • Effect size and confidence intervals, binary outcomes
  • P-values: interpretation and misuse
  • Statistical significance vs. clinical significance

 

Speakers

Dr Digsu Koye
Research Fellow, the University of Melbourne

Dr Koye has a Bachelor of Science in Public Health and Master of Public Health in Epidemiology and Biostatistics from the University of Gondar, Ethiopia and PhD in Epidemiology from Monash University, Australia. He is an experienced clinical epidemiologist with a strong biostatistical background in the design and analysis of clinical and epidemiological studies in the fields of metabolic and chronic diseases. Before his move to Australia for his PhD, Dr Koye had been teaching and conducting public health research at the Institute of Public Health of the University of Gondar.

Prof Julie Simpson
Director, Methods and Implementation Support for Clinical and Health Research Hub (MISCH); Head,  Biostatistics Unit, Melbourne School of Population and Global Health

Prof Simpson has 30 years experience as a biostatistician contributing to clinical and population health research. Previously she has worked at St Thomas's Hospital, London, Mahidol-Oxford Research Programme in Thailand, University of Aberdeen, and Cancer Council of Victoria. Her main research areas are: the integration of biostatistics and mathematical modelling to improve the control of infectious diseases and statistical methods for handling missing data in observational cohorts.

Dr Sophie Zaloumis
Statistician, the University of Melbourne

Dr Zaloumis has a BSc (Hon) in Statistics and a PhD in Statistics from the University of Melbourne. Her PhD project focused on Bayesian hierarchical modelling and extending statistical methods to analyse ordinal categorical family data. Dr Zaloumis has been employed as a biostatistician in public health research for more than 10 years. She has experience providing statistical support in the analysis and reporting of observational studies, pharmacokinetic-pharmacodynamic modelling and applying Bayesian inference approaches.

A/Prof Sabine Braat
Co-Head, MISCH

A/Prof Braat completed her postgraduate training in Belgium (Master of Science in Biostatistics preceded by Master in Applied Mathematics) following undergraduate study in mathematics. She has over 15 years’ experience working as a statistician in the pharmaceutical industry in the Netherlands where she contributed to the design, analysis and reporting of clinical trials ranging from the early clinical phases (Phase II) to post-marketing (Phase IV) in a range of medical areas.

Phoebe Fitzpatrick
Research Assistant and Data Manager, Walter and Eliza Hall Institute

Thursday 16 May 2024
9.00am–4.00pm

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