Associate Professor Jake Olivier

Associate Professor Jake Olivier

Fields of research: Biostatistics, Applied Statistics, Epidemiology
Campus: Kensington
Tags: Public Health (excl. Specific Population Health), Injury Control, Road Safety

ABOUT ME

 

Biography

I am part of the Biostatistics and Ecology research group in the School of Mathematics and Statistics. My research interests are focused on statistical methods applied to epidemiological, psychological and population health data. My main application area is in road safety and injury research, although I routinely collaborate with cancer, psychological and cardiovascular researchers.

Education

  • PhD in Statistics, University of Mississippi, 2003
  • MSc in Mathematics,...

ABOUT ME

 

Biography

I am part of the Biostatistics and Ecology research group in the School of Mathematics and Statistics. My research interests are focused on statistical methods applied to epidemiological, psychological and population health data. My main application area is in road safety and injury research, although I routinely collaborate with cancer, psychological and cardiovascular researchers.

Education

  • PhD in Statistics, University of Mississippi, 2003
  • MSc in Mathematics, University of Mississippi, 1997
  • BSc in Mathematics, Centenary College of Louisiana, 1995

 

RESEARCH

 

Research Goals

  • Improving methods for assessing population-based interventions
  • Development of operationally defined effect sizes in epidemiology
  • Sample size calculations for testing the difference in two proportions
  • Binary parameter estimation

Research in Detail

There are many statistical challenges in quasi-experimental designs due to lack of randomisation. This makes it difficult to assess the impact of population-based interventions due to unmeasured confounding. Some examples of interest are assessing the effects of bicycle helmet legislation and measures to limit access to guns. Interrupted time series, with or without a control, offer an improvement over other methods. However, little work has been done in this area and there is little standardization of analytic approaches across various fields such that varying analyses can lead to disparate conclusions using the same data source.

It is well known that statistical significance is a function of sample size. This is problematic because important effects can go unnoticed in studies with small sample sizes, and unimportant effects can give small p-values from large studies. Effect sizes can complement significance testing by removing the influence of sample size. A lot of work on this topic can be found in psychological research but little has been done on epidemiological measures like the odds ratio, relative risk or hazards ratio.

Research Grants

  • ARC Linkage Grant 2011 -- 2015, A Williamson, R Grzebieta and J Olivier. Safety Management System for Heavy Vehicle Transport.
  • ACT Road Transport Authority 2014, A Williamson, R Grzebieta, J Olivier and S Job. Evaluation of the ACT Road Safety Camera Program.

Current Student Projects (PhD and Honours)

Interrupted time series methods for assessing population-based interventions

Effect sizes for epidemiological measures of association

Supervision Opportunities/Areas

I would love to talk to potential PhD students who are interested in biostatistical methods.

Advice for prospective students

If you have an interest in working with me, please send me a detailed email. This should include information about yourself and specific areas in which you have an interest. If you are unsure of a particular topic, I would be happy to discuss potential options.

 

TEACHING & OUTREACH

 

Courses I teach

MATH5826: Statistical Methods in Epidemiology

MATH5906: Design & Analysis of Clinical Trials

MATH5916: Survival Analysis

MATH5945: Categorical Data Analysis

Statistical Methods for Research Workers (short course)

Statistics Consulting Service

Professional affiliations and service positions

I am an Academic Editor for PLOS ONE

I am a Statistical Advisor for BMJ Open

I am a Biostatistical Advisor for Ergonomics Australia Journal

I am an Associate Editor for World Journal of Cancer Research

I am a Co-Chair of the Biostatistics Section of the Statistical Society of Australia, and council member and past Treasurer of the NSW Branch

I am a member of the American Statistical Association

I am a member of the Australasian College of Road Safety

 

AWARDS & ACHIEVEMENTS

 

University of Mississippi Dissertation Fellowship 

John A. Hardin Mathematics Award, Centenary College

Paul and Myrtle Bender Mathematics and Physical Science Scholarship, Centenary College

Web of Science Highly Cited Paper for "Long term bicycle related head injury trends for New South Wales, Australia following mandatory helmet legislation"

I was promoted to Associate Professor in 2013

Location

School of Mathematics and Statistics
Room 2051, The Red Centre (H13)
University of New South Wales
Sydney, NSW 2052


 

Map reference (Google Maps)

Contact

02 9385 6656
02 9385 7123