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Gary Collins

Prof

Accepting PhD Students

PhD projects

Methodology for clinical prediction models, predictive AI/machine learning for healthcare; Methodology for AI evaluation and fairness assessment; Research transparency, reporting standards and guidelines; Meta-science methodology and evaluation; Open science methods

20022026

Research activity per year

Personal profile

Biography

Gary Collins is a 125th Anniversary Chair and Professor of Medical Statistics in the Department of Applied Health Sciences at the University of Birmingham. He previously worked at the University of Oxford for 19 years, where he was the Director of the Centre for Statistics in Medicine and made a Professor of Medical Statistics in 2016. In 2024 he was the recipient of a NIHR Senior Investigator award.

Social media presence: BlueskyLinkedIn

Research interests

Professor Collins' research interests are primarily focused on methodological aspects in the development and fair evaluation of clinical prediction models (including machine learning) and has published extensively in this area (see research output or google scholar). His other research interests lie in improving the transparency, openness and quality of health research, where he leads the EQUATOR Network activities in the UK.

In 2010, he established an international initiative to develop the TRIPOD reporting recommendations published in 2015 for studies developing and validating clinical prediction models. He led an update to these recommendations in 2024 to cover models developed using artificial intelligence and machine learning methods (TRIPOD+AI) and large language models (TRIPOD-LLM).

Gary has also been involved in other guidance for artificial intelligence and machine learning studies in healthcare, including

  • STARD-AI - for AI based diagnostic test accuracy studies
  • DECIDE-AI - for early-stage live clinical evaluation of AI systems
  • CONSORT-AI / SPIRIT-AI - for AI intervention studies
  • CHART - for evaluating chatbots providing medical advice 

Gary is also involved in development of risk of bias tools for machine learning diagnostic test accuracy studies (QUADAS-AI) and prediction model studies (PROBAST+AI), and the FUTURE-AI principles for trustworthy and deployable artificial intelligence in healthcare.

Gary has also been involved in the development of numerous other reporting guidelines for other study designs, including the

Gary is a steering group member, and former co-chair of the international STRATOS Initiative, which aims to provide accessible and accurate guidance in the design and analysis of observational studies, and currently sits on the external advisory board for the Centre for Open Science Transparency and Openness Promotion Guidelines.

Education/Academic qualification

Doctor of Philosophy, Mathematical Statistics, University of Exeter

19962000

Award Date: 1 Dec 2000

External positions

NIHR Senior Investigator

1 Apr 202431 Mar 2028

Expertise related to UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):

  1. SDG 2 - Zero Hunger
    SDG 2 Zero Hunger
  2. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being
  3. SDG 8 - Decent Work and Economic Growth
    SDG 8 Decent Work and Economic Growth

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