Matt Tudball

Wellcome Trust PhD student

MRC Integrative Epidemiology Unit, University of Bristol

About me

Welcome to my website! My name is Matt Tudball and I am a Wellcome Trust 4-year PhD student at the MRC Integrative Epidemiology Unit, University of Bristol, and a visiting PhD student at the Statistical Laboratory, University of Cambridge. I am supervised by George Davey Smith, Kate Tilling, Qingyuan Zhao, Rachael Hughes and Jack Bowden.

My research involves the development of novel causal inference methods with application to epidemiology. In addition to my current papers and pre-prints, I am working on an exact inference method for within-family Mendelian randomisation (watch this space!).

Interests

Selection bias
Causal inference
Mendelian randomisation

Education

MA in Economics, 2017
University of Toronto
BSc in Economics and Mathematics, 2016
University of Toronto

Publications and pre-prints

Matthew J Tudball, Qingyuan Zhao, Rachael A Hughes, Kate Tilling, Jack Bowden

August 2020 arXiv, pp. 1–31

An interval estimation approach to sample selection bias

Matthew J Tudball, Jack Bowden, Rachael A Hughes, Amanda Ly, Marcus R Munafo, Kate Tilling, Qingyuan Zhao, George Davey Smith

August 2020 Genetic Epidemiology, pp. 1–18, https://doi.org/10.1101/2020.08.20.20178921

Mendelian randomisation with coarsened exposures

Gareth Griffith, Tim T Morris, Matthew J Tudball, Annie Herbert, Giulia Mancano, Lindsey Pike, Gemma C Sharp, Tom M Palmer, George Davey Smith, Kate Tilling, Luisa Zuccolo, Neil M Davies, Gibran Hemani

May 2020 Nature Communications, (11), 5749, https://doi.org/10.1038/s41467-020-19478-2

Collider bias undermines our understanding of COVID-19 disease risk and severity

Kory Kroft, Fabian Lange, Matthew J Notowidigdo, Matthew J Tudball

July 2019 Journal of Labor Economics, (37), S2, pp. S355–S397, https://doi.org/10.1086/703258