Network Meta-Analysis Course Sydney, Friday 2nd – 4th Nov 18

How to understand, appraise and write a network meta-analysis

Associate Professor Andrea Cipriani from Oxford University leads this 3-day interactive course along with international Network Meta-Analysis experts Professor Georgia Salanti and Professor Toshi Furukawa.
The course is designed for clinicians, researchers and policy-makers interested in evidence synthesis and comparative effectiveness. This is a popular, established course that has been run five times at Oxford University, UK. For the very first time, this course will be available in Australia.

Network meta-analysis (NMA) is the latest evidence synthesis tool. NMA provides a framework to analyse and compare multiple interventions. The field is evolving rapidly and clinicians, researchers and policy makers are increasingly required to understand and use NMA.

Researchers at Neuroscience Research Australia are hosting the course in Sydney in November 2018.

The course features:

  • Introduction to key concepts and purpose of NMA
  • Introduction to assumptions of NMA
  • Guidance to developing NMA research questions
  • Theoretical foundation to analysis
  • Practical workshop learning of analysis in STATA and R
  • Determining confidence in the evidence from NMA
  • Writing and peer review of NMA manuscripts
  • Opportunity to share project ideas
  • Real examples (design, project management, peer review) from an ongoing Cochrane review.

The course will be delivered in an informal, hands-on environment. The material is a mixture of lectures and practical workshops.

To see the full programme, click here.

Event Dates:

Course Day 1 – Friday, 2nd November 2018                            8.30am – 5.45pm

Course Day 2 – Saturday, 3rd November 2018                        8.30am – 5.30pm

Course Day 3 – Sunday, 4th November 2018                           8.30am – 4.30pm         

Course Fees from 1 May 2018 (AEST):



Please note fees are in $AUD and include GST at 10%.

Inclusion in course fee:

  • Full course registration
  • Course materials – slides, literature, example data sets and code
  • Morning and afternoon refreshments and lunch.

The course has reached capacity, please email to join the wait list.

Course Tutors:

Associate Professor Andrea Cipriani

Department of Psychiatry, University of Oxford, United Kingdom 

Andrea Cipriani is Associate Professor at the Department of Psychiatry, University of Oxford and Consultant Psychiatrist at the Oxford Health NHS Foundation Trust. His main interest is evidence-based mental health and his research focuses on the evaluation of treatments in psychiatry, mainly major depression, bipolar disorder and schizophrenia. Dr Cipriani is author of 240 scientific publications, mainly systematic reviews, meta-analyses and randomised controlled trials in psychopharmacology, however he has also been investigating relevant issues in epidemiological psychiatry and public health, like patterns of drug consumption, risk of serious adverse events (mainly suicide and deliberate self harm) and implementation of treatment guidelines.

Being interested in the methodology of evidence synthesis, Dr Cipriani has now a specific focus on network meta-analysis and individual patient data, trying to assess the validity, breadth, structure and interpretation of these statistical approaches to better inform the mental healthcare decision-making process. He is an expert member/advisor for the European Medicines Agency, Canadian Institutes of Health Research and National Institute of Health and Care Excellence in the UK. Dr Cipriani is currently Editor in Chief of Evidence-Based Mental Health ( and on the Editorial Board of the Lancet Psychiatry and the Australian and New Zealand Journal of Psychiatry.



Professor Georgia Salanti

Institute of Social and Preventive Medicine (ISPM), University of Bern, Switzerland

Professor Georgia Salanti’s research focuses on the statistical modelling for evidence synthesis and the methodology of systematic reviews. Professor Salanti is particularly interested on publication bias issues, the impact of missing outcome data and network meta-analysis. Several of her methodological developments have been applied to answer clinical questions in mental health. Professor Salanti works closely with the Cochrane Collaboration where she co-convenes the Statistical Methods Group and the Comparing Multiple Interventions Methods Group.

Professor Salanti was recently rewarded a Marie Skłodowska Curie fellowship for the project ‘Evidence-based planning of future clinical Research (EBAR)’ to explore a flexible and sustainable framework to plan clinical trials based on evidence from systematic reviews.




Professor Toshi Furukawa 

Departments of Health Promotion and Human Behavior and of Clinical Epidemiology at Kyoto University Graduate School of Medicine / School of Public Health, Japan

Professor Toshi A. Furukawa is currently Professor of the Departments of Health Promotion and Human Behavior, and of Clinical Epidemiology at Kyoto University Graduate School of Medicine / School of Public Health, since 2010. Professor Furukawa’s major areas of interest and expertise include clinical epidemiology, evidence synthesis, and clinical psycho-pharmacology and cognitive-behavior therapy. He is author and co-author of over 350 peer-reviewed articles, including:

  • Furukawa TA, et al (in press) Cognitive-behavioral analysis system of psychotherapy (CBASP), drug, or their combination for persistent depressive disorder: Personalizing the treatment choice using individual participant data network meta-regression. Psychotherapy and Psychosomatics.
  • Cipriani A, Furukawa TA, Salanti G, et al (2018) Comparative efficacy and acceptability of 21 antidepressant drugs for the acute treatment of adults with major depressive disorder: a systematic review and network meta-analysis. Lancet, 391, 1357-1366.
  • Furukawa TA, et al (2017) Initial severity of depression and efficacy of cognitive-behavioural therapy: individual-participant data meta-analysis of pill-placebo-controlled trials. British Journal of Psychiatry, 210, 190-196.
  • Furukawa TA, et al (2016) Placebo response rates in antidepressant trials: a systematic review of published and unpublished double-blind randomised controlled studies. Lancet Psychiatry, 3, 1059-1066.
  • Furukawa TA, et al (2015) Initial severity of schizophrenia and efficacy of antipsychotics: Participant-level meta-analysis of 6 placebo-controlled studies. JAMA Psychiatry, 72, 14-21.



Mr Matthew Bagg

Pain Research Education and Management Program, Neuroscience Research Australia (NeuRA), Sydney 

Prince of Wales Clinical School & New College Village, University of New South Wales, Sydney, Australia

Matthew Bagg is a clinical scientist completing his doctorate at NeuRA/UNSW. Meta-analysis is a major theme in his research program. He is co-lead of a Cochrane network meta-analysis of analgesic medicines for low back pain and is a member of the Living Systematic Review Network. Matthew has also used meta-analysis to understand the effect of low back pain on brain structure and biochemistry.





If you have any further questions regarding the course, please do not hesitate to get in touch. 

Anika Haigh

+612 9399 1627 



Neuroscience Research Australia

Margaret Ainsworth Building

139 Barker Street

Randwick Sydney NSW 2031