NHMRC Clinical Trials Centre
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Research > Consultancy

Consultancy
The CTC offers a consulting service to groups running their own trials, systematic reviews or meta-analyses or wishing to run such projects.

This covers many aspects of research, particularly design, methodology and analysis.
Areas of expertise
Trial methodology
trial design, sample size calculation, randomisation plans, analysis plans, statistical analyses, economic analyses, interim analyses, safety and data monitoring.

Clinical trials operation
randomisation, project management and trial coordination, protocol development, advice in ethical and regulatory approval, data management, case-report forms design, database design, validation, monitoring, source data verification, quality control, cost effectiveness, cost minimisation, methodology, design and analysis

Reviews
systematic review of evidence, reviews of new technologies and procedures, prospective meta-analyses, decision analyses
Training
courses on specialised topics (including trials design, database design, decision analysis, biostatistics), individual training (including statistical software packages)
Recent projects
  • ARIVAC is a trial of the effectiveness of vaccination for pneumococcal disease in young children in the Philippines. The CTC is acting as independent technical services unit and reports quarterly to the trial Safety and Data Monitoring Committee. This involves extracting the data, carrying out all of the statistical analyses and writing a report.

  • A statistical consulting clinic for researchers in the Faculty of Health Sciences, University of Sydney. A senior CTC statistician conducts a weekly clinic to provide advice on statistical aspects of research projects and help researchers develop their statistical proficiency.

  • Collaboration on the analyses of a randomised controlled trial studying the benefits of a combined exercise program and other health interventions on mental health and physiological characteristics in the Faculty of Health Sciences, University of Sydney.

  • Comparing the predictive ability of prognostic indices and survival regression trees for time-to-event outcomes.

  • Extending the use of receiver-operating-characteristics curves to account for time dependence in assessing the predictive ability of prognostic indices.
    • Consulting contact: Associate Professor Val Gebski

    © NHMRC Clinical Trials Centre 2002. Authorised by: Val Gebski. Page updated: June 2008