High-dimensional propensity scores for data-driven confounder adjustment in UK electronic health records.

Tazare, JR; (2022) High-dimensional propensity scores for data-driven confounder adjustment in UK electronic health records. PhD (research paper style) thesis, London School of Hygiene & Tropical Medicine. DOI: https://doi.org/10.17037/PUBS.04664727

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https://doi.org/10.17037/PUBS.04664727

Abstract

Item Type Thesis
Thesis Type Doctoral
Thesis Name PhD (research paper style)
Contributors Williamson, E and Douglas, I
Faculty and Department Faculty of Epidemiology and Population Health > Dept of Medical Statistics
Funders Medical Research Council
Grant number MR/N013638/1
Copyright Holders John Tazare

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