Linking Health and Social Data to Assess the Performance of High Dimensional Propensity Scores

Introduction High dimensional propensity scores (HDPS) aim to account for unmeasured confounding. However, it is unclear to what extent HDPS are able to attain this. Objectives and Approach This study aimed to test how well HDPS can account for confounding due to social determinants of health wh...

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Bibliographic Details
Main Authors: Naomi Hamm, Deepa Singal, Matthew Dahl, Dan Chateau, Marni Brownell
Format: Article
Language:English
Published: Swansea University 2020-12-01
Series:International Journal of Population Data Science
Online Access:https://ijpds.org/article/view/1449

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