Louise Amanda Claire Millard
Cited by
Cited by
Software Application Profile: PHESANT: a tool for performing automated phenome scans in UK Biobank
LAC Millard, NM Davies, TR Gaunt, G Davey Smith, K Tilling
International journal of epidemiology 47 (1), 29-35, 2018
MR-PheWAS: hypothesis prioritization among potential causal effects of body mass index on many outcomes, using Mendelian randomization
LAC Millard, NM Davies, NJ Timpson, K Tilling, PA Flach, GD Smith
Scientific reports 5 (1), 16645, 2015
Searching for the causal effects of body mass index in over 300 000 participants in UK Biobank, using Mendelian randomization
LAC Millard, NM Davies, K Tilling, TR Gaunt, G Davey Smith
PLoS genetics 15 (2), e1007951, 2019
Machine learning to assist risk-of-bias assessments in systematic reviews
LAC Millard, PA Flach, JPT Higgins
International journal of epidemiology 45 (1), 266-277, 2016
Evaluation of the causal effects between subjective wellbeing and cardiometabolic health: mendelian randomisation study
RE Wootton, RB Lawn, LAC Millard, NM Davies, AE Taylor, MR Munafň, ...
bmj 362, 2018
The second generation of The Avon Longitudinal Study of Parents and Children (ALSPAC-G2): a cohort profile
DA Lawlor, M Lewcock, L Rena-Jones, C Rollings, V Yip, D Smith, ...
Wellcome Open Research 4, 2019
A cross-disorder PRS-pheWAS of 5 major psychiatric disorders in UK Biobank
B Leppert, LAC Millard, L Riglin, G Davey Smith, A Thapar, K Tilling, ...
PLoS genetics 16 (5), e1008185, 2020
PhenoSpD: an integrated toolkit for phenotypic correlation estimation and multiple testing correction using GWAS summary statistics
J Zheng, TG Richardson, LAC Millard, G Hemani, BL Elsworth, ...
Gigascience 7 (8), giy090, 2018
MR-pheWAS with stratification and interaction: searching for the causal effects of smoking heaviness identified an effect on facial aging
LAC Millard, MR Munafň, K Tilling, RE Wootton, G Davey Smith
PLoS Genetics 15 (10), e1008353, 2019
Navigating sample overlap, winner’s curse and weak instrument bias in Mendelian randomization studies using the UK Biobank
II Sadreev, BL Elsworth, RE Mitchell, L Paternoster, E Sanderson, ...
MedRxiv, 2021.06. 28.21259622, 2021
Identifying potential causal effects of age at menarche: a Mendelian randomization phenome-wide association study
MC Magnus, AL Guyatt, RB Lawn, AB Wyss, K Trajanoska, LK Küpers, ...
BMC medicine 18, 1-17, 2020
Proxy gene-by-environment Mendelian randomization study confirms a causal effect of maternal smoking on offspring birthweight, but little evidence of long-term influences on …
Q Yang, LAC Millard, GD Smith
International Journal of Epidemiology, dyz250, 2019
Bias from questionnaire invitation and response in COVID-19 research: an example using ALSPAC
A Fernández-Sanlés, D Smith, GL Clayton, K Northstone, AR Carter, ...
Wellcome Open Research 6, 2021
The causes and consequences of Alzheimer’s disease: phenome-wide evidence from Mendelian randomization
R Korologou-Linden, L Bhatta, BM Brumpton, LD Howe, LAC Millard, ...
Nature communications 13 (1), 4726, 2022
Physical activity during pregnancy and offspring cardiovascular risk factors: findings from a prospective cohort study
LAC Millard, DA Lawlor, A Fraser, LD Howe
BMJ open 3 (9), e003574, 2013
GLU: a software package for analysing continuously measured glucose levels in epidemiology
LAC Millard, N Patel, K Tilling, M Lewcock, PA Flach, DA Lawlor
International Journal of Epidemiology 49 (3), 744-757, 2020
Exploring the impact of selection bias in observational studies of COVID-19: a simulation study
LAC Millard, A Fernández-Sanlés, AR Carter, RA Hughes, K Tilling, ...
International Journal of Epidemiology 52 (1), 44-57, 2023
Impact of sex hormone-binding globulin (SHBG) on the human phenome
R Arathimos, LAC Millard, JA Bell, CL Relton, M Suderman
Human Molecular Genetics, 2020
Physical activity phenotyping with activity bigrams, and their association with BMI
LAC Millard, K Tilling, DA Lawlor, PA Flach, TR Gaunt
International Journal of Epidemiology 46 (6), 1857-1870, 2017
Rate-constrained ranking and the rate-weighted AUC
LAC Millard, PA Flach, JPT Higgins
Machine Learning and Knowledge Discovery in Databases: European Conference …, 2014
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