2023
DOI: 10.31234/osf.io/qtdcu
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Overcoming biases of individual level shopping history data in health research

Anya Skatova

Abstract: Novel sources of population data, especially administrative and medical records, as well as the digital footprints generated through interactions with online services, present a considerable opportunity for advancing health research and policymaking. An illustrative example is shopping history records that can illuminate aspects of population health by scrutinizing extensive sets of everyday choices made in the real world. However, like any dataset, these sources possess specific limitations, including samplin… Show more

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