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Landmark models for optimizing the use of repeated measurements of risk factors in electronic health records to predict future disease risk

Paige, Ellie; Barrett, Jessica; Sweeting, Michael; Nazareth, Irwin D.


The benefits of using electronic health records for disease risk screening and personalized heathcare decisions are becoming increasingly recognized. We present a computationally feasible statistical approach to address the methodological challenges in utilizing historical repeat measures of multiple risk factors recorded in electronic health records to systematically identify patients at high risk of future disease. The approach is principally based on a two-stage dynamic landmark model. The...[Show more]

CollectionsANU Research Publications
Date published: 2018
Type: Journal article
Source: American Journal of Epidemiology
DOI: 10.1093/aje/kwy018
Access Rights: Open Access


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