Will Parry

Will Parry

PhD, MSc, BEng (hons.)

I am a British social scientist, statistician and data scientist with over 15 years’ experience in research and consultancy.

I work as a freelance consultant for a variety of clients including government departments, the NHS, academia, research consultancies, think tanks, charities, the voluntary sector, and others in the UK and Europe.

I am keen on all things scientific and regard myself a ‘skeptic with a k’. I have previously taught statistical and survey methods, software skills for data analysis, critical thinking skills and the scientific method.

  • R stats programming
  • Open access science
  • Quasi-experiments
  • Public policy evaluation
  • Social psychology
  • Music & revolution
  • PhD Quantitative Social Science, 2015

    UCL Institute of Education

  • MSc Social Research Methods, 2008

    London School of Economics

  • BEng (hons.) Materials Science & Eng., 2002

    University of Bath

Recent projects

Evaluation of COVID oximetry @home using RDD (2021)

This ongoing project involves a patient-level evaluation of the ‘COVID Oximetry @home programme’ in England. The evaluation takes advantage of the 65-year age criterion for eligibility to estimate the effect of the programme on hospital use and mortality using a regression discontinuity design (RDD). The protocol is available here: PDF

Digital First Primary Care - Feasibility study using CPRD AURUM (2020)

This project involved analysing a feasibility sample from the CPRD AURUM dataset, in order to identify whether the data would be appropriate for research into digital modes of primary care (e.g. web-based, video and telephone consultations). Methods were developed to enable researchers to more easily read and manipulate the data, as well as creating useful categorisations and derived variables. This work is gradually being developed into a package, available here: GitHub

International Collaborative on Costs, Outcomes and Needs in Care (ICCONIC) - Results for England (2020)

ICCONIC explores cross-national variations in care trajectories, resource use and outcomes for selected high-cost high-need patient groups across 11 countries: Australia, Canada, England, France, Germany, the Netherlands, New Zealand, Spain, Sweden, Switzerland and the United States. This project made use of patient-level datasets to explore variation in utilisation and costs of health services across care settings and health systems in the year following index hospital admission. Code from this project is available here: GitHub

Pupilinform - online analysis of pupil well-being (2020)

This project involved developing a new online application for the analysis of pupil well-being survey data for Gloucestershire County Council. The software needed to be secure, accessible by hundreds of teachers and stakeholders, and easy to use. The solution was developed rapidly using open source software. The application was built using ‘Shiny’ in R. For more information on this software, you can contact RM Insight.

Modelling the cost of providing quality childcare services in Ireland (2020)

This project was part of an independent review on the cost of providing quality childcare. The Department of Children and Youth Affairs wanted to establish an evidence base for the development and support of quality Early Learning and Care (ELC) and School Age Childcare (SAC) provision in Ireland. The brief included the development and delivery of a model of the unit costs of providing ELC and SAC that allows analysis of policy changes and variation in cost-drivers, including the potential impact of professionalisation. This work has been published here: gov.ie