The use of genetic markers as instrumental variables (IV) is receiving increasing attention from economists, statisticians, epidemiologists and social scientists. Although IV is commonly used in economics, the appropriate conditions for the use of genetic variants as instruments have not been well defined. The increasing availability of biomedical data, however, makes understanding of these conditions crucial to the successful use of genotypes as instruments. We combine the econometric IV literature with that from genetic epidemiology, and discuss the biological conditions and IV assumptions within the statistical potential outcomes framework. We review this in the context of two illustrative applications.
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http://dx.doi.org/10.1016/j.jhealeco.2015.10.007 | DOI Listing |
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Department of Orthopedics, The Second Hospital of Hebei Medical University Shijiazhuang, Hebei, China.
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National Nanfan Research Institute (Sanya), Chinese Academy of Agricultural Sciences, Sanya, 572024 China.
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Unit of Ecological Genetics, Institute of Forest Biodiversity and Nature Conservation, Austrian Research Centre for Forests (BFW), Seckendorff-Gudent-Weg 8, Vienna, Vienna.
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Department of Animal Biology, Faculty of Natural Sciences, University of Tabriz, Tabriz, Iran.
Retinoblastoma (RB) is a common and potentially lethal cancer that primarily affects young children worldwide, with survival rates significantly varying between high- and low-income countries. This review aims to identify essential diagnostic markers for early diagnosis by investigating the molecular pathways associated with RB. The prevalence of RB cases is notably concentrated in Asia and Africa, contributing to a global survival rate estimate of less than 30%.
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Department of Cell Biology and Histology, University of the Basque Country UPV/EHU, Leioa, Bizkaia, 48940, Spain.
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