Julian Higgins


Julian P.T. Higgins
Julian Piers Thomas Higgins

EducationDurham University, University of Cambridge, and The University of Reading
Known forMeta-analysis
AwardsCochrane Collaboration's Thomas C. Chalmers Award; Society for Research Synthesis Methodology's Ingram Olkin Award for distinguished lifetime achievement in research synthesis methodology; the Campbell Collaboration's Frederick Mosteller Award for Distinctive Contributions to Systematic Reviewing
Scientific career
InstitutionsImperial College London
University College London
University of York
Medical Research Council
University of Bristol
ThesisExploiting information in random effects meta-analysis (1997)

Julian P. T. Higgins is a British biostatistician, Professor of Evidence Synthesis and Director of Research at the Department of Population Health Sciences at the University of Bristol.[1] Higgins was previously Chair in Evidence Synthesis at the University of York, and Programme Leader at the MRC Biostatistics Unit in Cambridge. He is also a founding trustee and a Past-President of the Society for Research Synthesis Methodology.[2]

Early life and education

Higgins was born in North Yorkshire, where he attended the Stokesley School. He completed his undergraduate studies in mathematics at Durham University in 1992, earned a diploma in mathematical statistics from the University of Cambridge in 1993, and obtained a PhD in applied statistics from the University of Reading in 1997.[3]

Academic career

Higgins is an NIHR Senior Investigator. An expert on meta-analysis and systematic review methodologies, Professor Higgins contributes actively to the Cochrane Collaboration, where he also serves as Senior Methods Advisor. He is a co-editor of the Cochrane Handbook for Systematic Reviews of Interventions and has been named an ISI Highly Cited researcher each year since 2015.[4]

On 28 August 2019 Higgins, along with Jonathan Sterne, Jelena Savović, and colleagues, published in The British Medical Journal an article detailing "RoB 2", a revised tool for assessing risk of bias in randomized trials. [5] Assessing risk of bias is regarded as an essential component of a systematic review. The most commonly used tool for assessing risk of bias to date has been the Cochrane risk-of-bias tool, which Professor Higgins introduced in 2008.[6]


  1. ^ Bristol, University of. "Professor Julian Higgins". www.bristol.ac.uk. Retrieved 2018-07-04.
  2. ^ "Officers". Retrieved 2018-07-04.
  3. ^ Higgins, JPT. (1997). Exploiting Information in Random Effects Meta-analysis (PhD). University of Reading.
  4. ^ Bristol, University of. "Professor Julian Higgins". www.bristol.ac.uk. Retrieved 2018-06-03.
  5. ^ Sterne Jonathan A C, Savović Jelena, Page Matthew J, Elbers Roy G, Blencowe Natalie S, Boutron Isabelle et al. RoB 2: a revised tool for assessing risk of bias in randomised trials BMJ 2019; 366 :l4898.
  6. ^ Higgins JPT, Green S (editors). Cochrane Handbook for Systematic Reviews of Interventions Version 5.1.0 [updated March 2011]. The Cochrane Collaboration, 2011. Available from www.handbook.cochrane.org.

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