Rate My Professor Peter Craig

Craig's research specializations centre on the development and application of robust methods for the evaluation of policies and interventions affecting population health. He is particularly interested in natural experimental approaches to evaluate interventions that cannot be randomised and in evaluability assessments to inform decisions about evaluating complex public health interventions. His contributions have shaped methodological advancements, including lead authorship on "Using natural experiments to evaluate population health interventions: a framework for producers, funders, publishers and users of evidence" (2025, Public Health Research, 13(3)) and "Using natural experiments to evaluate population health and health system interventions: new framework for producers and users of evidence" (2025, BMJ, 388:e080505). Other notable publications include "Estimating the causal effects of income on health: how researchers’ definitions of “income” matter" (2024, BMC Public Health), "Unlocking data: decision-maker perspectives on cross-sectoral data sharing and linkage" (2024, Public Health Research), "The health impact of Scotland's Baby Box Scheme: a natural experiment evaluation" (2023, Lancet Public Health), and "Implementation of a national smoke-free prison policy: an economic evaluation" (2023, Tobacco Control). Craig has attracted significant funding, co-leading PHIRST Fusion (NIHR, 2025-2030), OPTIMA (NIHR, 2024-2027), and other projects evaluating real-world public health interventions. He delivers teaching, seminars, and workshops on evaluation methods and supervises doctoral students investigating health inequalities and policy effects.