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Diabetologia|February 7, 2022
Separating the direct effects of traits on atherosclerotic cardiovascular disease from those mediated by type 2 diabetesVenexia M Walker, Marijana Vujkovic, Alice R Carter, et al.
Wellcome Open Research|August 4, 2022
Bias from questionnaire invitation and response in COVID-19 research: an example using ALSPACAlba Fernández-Sanlés, Daniel Smith, Gemma L Clayton, et al.
International Journal of Obesity (2005)|May 18, 2021
Risk factors mediating the effect of body mass index and waist-to-hip ratio on cardiovascular outcomes: Mendelian randomization analysisDipender Gill, Verena Zuber, Jesse Dawson, et al.
International Journal of Epidemiology|December 7, 2022
Exploring the impact of selection bias in observational studies of COVID-19: a simulation studyLouise A C Millard, Alba Fernández-Sanlés, Alice R Carter, et al.
BMC Medical Research Methodology|November 13, 2024
Accounting for bias due to outcome data missing not at random: comparison and illustration of two approaches to probabilistic bias analysis: a simulation studyEmily Kawabata, Daniel Major-Smith, Gemma L Clayton, et al.
BMJ (Clinical Research Ed.)|May 25, 2019
Understanding the consequences of education inequality on cardiovascular disease: mendelian randomisation studyAlice R Carter, Dipender Gill, Neil M Davies, et al.
International Journal of Epidemiology|November 22, 2020
Metabolic profiles of socio-economic position: a multi-cohort analysisOliver Robinson, Alice R Carter, Mika Ala-Korpela, et al.
Cancer Causes & Control : CCC|March 11, 2022
Applying Mendelian randomization to appraise causality in relationships between nutrition and cancerKaitlin H Wade, James Yarmolinsky, Edward Giovannucci, et al.
Cancers|August 26, 2023
Gallbladder Cancer Risk and Indigenous South American Mapuche Ancestry: Instrumental Variable Analysis Using Ancestry-Informative MarkersLinda Zollner, Felix Boekstegers, Carol Barahona Ponce, et al.
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