Instrumental Variables Analysis and Mendelian Randomization for Causal Inference
Author:
Affiliation:
1. Department of Epidemiology and Biostatistics, McGill University , Montreal , Canada
2. Department of Clinical Epidemiology and Department of Biomedical Data Sciences, Leiden University , The Netherlands
Funder
Natural Sciences and Engineering Research Council of Canada
a Chercheur de mérite career award from the Fonds de recherche du Québec
Canadian Institutes of Health Research
Publisher
Oxford University Press (OUP)
Link
https://academic.oup.com/jid/advance-article-pdf/doi/10.1093/infdis/jiae357/58739381/jiae357.pdf
Reference7 articles.
1. Investigation of causal effects of protein biomarkers on cardiovascular disease in persons with HIV;Reilly;J Infect Dis,2023
2. Tutorial: formulating causal questions and principled statistical answers;Goetghebeur;Stat Med,2020
3. Causal inference and confounding: a primer for interpreting and conducting infectious disease research;Moodie;J Infect Dis,2023
4. Commentary: two-sample Mendelian randomization: opportunities and challenges;Lawlor;Int J Epidemiol,2016
5. Two-sample Mendelian randomization: avoiding the downsides of a powerful, widely applicable but potentially fallible technique;Hartwig;Int J Epidemiol,2016
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