Statistics

The Statistics Unit conducts collaborative research and provides a statistical consultancy service to all researchers from:

  • QIMR Berghofer
  • Metro North Hospital and Health Service (MNHHS)
  • Mater Research

We are very motivated and pleased to support quality statistical design, analysis and interpretation of research. We recommend seeking our help at the beginning of a research project, however we are available at any stage.  This includes assistance with:

  • formulating research questions
  • study design and analysis plans
  • power and sample size calculations
  • writing research grants and protocols
  • data management plans
  • handling data in statistical software packages
  • analysis using statistical methods appropriate for medical and health research
  • presentation and interpretation of data and analyses
  • preparation of and co-authorship on publications
  • addressing reviewers’ comments

The Statistics Unit also aims to improve the collective statistical and software knowledge of the organisations, through advice, tutoring, and training. We can assist with all your statistical needs and provide a sound statistical framework for your research. We receive direct financial support from QIMR Berghofer, MNHHS, Mater Research and grants where collaborative work is carried out.

 

To access our service please complete a Statistics Unit Service request form

Click Here

During 2019, we made the following contributions to medical and public health research productivity:

  • Authorship of 106 peer reviewed publications
  • We were named investigator on 15 ongoing research grants, including 6 NHMRC grants
  • We delivered an annual training program on introductory statistical themes called Making friends with Statistics comprised of four seminars and advanced statistical seminars for QIMR Berghofer, MNHHS and Mater Research groups
  • Our biostatisticians received academic and professional development on statistical themes, particularly complex modelling and higher degree training
  • We provided methodological expertise on collaborative projects through development and use of advanced statistical methods
  • We provided statistical expertise as members of ethics and external research committees and as reviewers for granting bodies and journal editors
  • At QIMR Berghofer we worked on 115 projects with 94 clients
  • At MNHHS we worked on 245 projects with 207 clients
  • At Mater Research we worked on 76 projects with 61 clients

LOCATION

Level 12, Bancroft Centre, QIMR Berghofer.

 QIMR BERGHOFER

METRO NORTH HOSPITAL AND HEALTH SERVICE

MATER RESEARCH

 

To access our service please complete a Statistics Unit Service request form

Click Here

 

 

GUIDELINES FOR DISCLOSURE OF HEALTH INFORMATION

AIHW: https://www.aihw.gov.au/our-services/committees/national-health-data-and-information-standards-com

CSIRO: https://data61.csiro.au/en/Our-Research/Our-Work/Safety-and-Security/Privacy-Preservation/De-identification-Decision-Making-Framework

Queensland Health: https://www.health.qld.gov.au/hsu/pha

SHOULD THE BIOSTATISTICIAN BE AN AUTHOR ON YOUR PAPER OR JUST BE ACKNOWLEDGED?

We enjoy collaborating in your projects, and recognise that there are many different levels of input that we can provide. When the statistics unit provides a significant intellectual or scholarly contribution to the research and its output, authorship for the biostatistician should be considered. This decision should be made with reference to the formal authorship guidelines provided by the NHMRC and ICMJE.

STATISTICS TRAINING

Statistical methods are an integral part of most scientific research activities.  Everyone from research students to senior researchers will benefit from establishing an amicable working relationship with statistics. Available training programs are advertised on the Institute’s events page.

GUIDES

GENERAL STATISTICS ONLINE ADVICE

Statistical analysis is not necessarily a simple process and ongoing support may take days, weeks, or even months depending on the magnitude of the project and the competing demands on the biostatistician. An efficient statistical analysis will depend on how well defined your research question is, the data collection process, and how well the database has been prepared.

The following links provide advice on what you can do yourself before meeting with a biostatistician: