Craig Knott

I am an epidemiologist with a long-running interest in using population-based data to inform policy and improve health. My work with HDI is rewarding and challenging, working with industry to support the development and approval of novel anti-cancer treatments by improving our understanding of patient treatment and health outcomes in a real-world setting.

Craig Knott

Senior Data Analyst


Craig is an epidemiologist by training and has spent the past decade analysing longitudinal population-based datasets. He started his career at University College London, researching the complex relationship between alcohol consumption and non-communicable disease, before moving on to Cambridge University to explore the role of natural experimental studies in understanding the impact of policy on behaviour.

Most recently he has moved into pharmacoepidemiology, working with HDI to develop a series of real-world standing cohorts alongside international partners. Here, cancer registration data are linked to myriad secondary datasets to describe the patient treatment pathway, survival metrics, adverse events and changes in the therapeutic landscape. Such research is vital in supporting the health technology appraisal of novel therapeutics.

Education and Awards:

University College London, 2013-16
– PhD Epidemiology and Public Health

University College London, 2010-13
– MSc Social Epidemiology

Open University, 2004-09
– BSc Social Sciences with Social Policy

Selected publications:

Knott CS, Panter J, Foley L, Ogilvie D. Changes in the mode of travel to work and the severity of depressive symptoms: a longitudinal analysis of UK Biobank. Prev Med. 2018; 112:61-69.

Knott CS, Britton A, Bell S. Trajectories of alcohol consumption prior to the diagnosis of type 2 diabetes: a longitudinal case-cohort study. Int J Epidemiol. 2018;47(3):953-965.

Knott CS, Bell S, Britton A. Alcohol consumption and the risk of type 2 diabetes: a systematic review and dose-response meta-analsysis of more than 1.9 million individuals from 38 observations studies. Diabetes Care, 2015;38(9): 1804-1812.




Real-world Standing Cohorts

Real-world Standing Cohorts

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