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Louise is a Research Fellow in the MRC Integrative Epidemiology Unit (IEU) at the University of Bristol. Following an undergraduate Computer Science degree and MSc in Machine Learning and Data Mining, she completed an interdisciplinary PhD at the interface of Computer Science and Epidemiology. Since then she has continued her interdisciplinary research, developing and applying data mining approaches in Epidemiology, with a focus on analysing time-series data, and hypothesis-free causal inference with Mendelian randomization.
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Bias from questionnaire invitation and response in COVID-19 research: an example using ALSPAC [version 1; peer review: awaiting peer review]Fernandez-Sanles, A., Smith, D., Clayton, G. L., Northstone, K., Carter, A. R., Millard, L. A. C., Borges, M. C., Timpson, N. J., Tilling, K. M., Griffith, G. J. & Lawlor, D. A., 19 Jul 2021, In: Wellcome Open Research. 6, 184, 184.
Research output: Contribution to journal › Article (Academic Journal)File14 Downloads (Pure)
Millard, L. A. C., Riglin, L., Davey Smith, G., Thapar, A., Tilling, K. M., Walton, E. & Stergiakouli, E., 11 May 2020, (E-pub ahead of print) In: PLoS Genetics. 16, 5, 20 p., e1008185.
Research output: Contribution to journal › Article (Academic Journal) › peer-reviewOpen AccessFile27 Downloads (Pure)
Millard, L. A. C., Patel, N., Tilling, K. M., Lewcock, M., Flach, P. A. & Lawlor, D. A., 13 Feb 2020, In: International Journal of Epidemiology. 49, 3, p. 744-757 14 p.
Research output: Contribution to journal › Article (Academic Journal) › peer-reviewOpen AccessFile18 Downloads (Pure)