The objective of this study was to develop and evaluate innovative causal inference methods that are suitable for analyzing electronic health record (EHR) data in comparative effectiveness research (CER) on dynamic treatment regimens.
Project page: Methods to Assess the Effect of Dynamic Treatment Regimens Using Electronic Health Records
Principal Investigator: Romain S. Neugebauer, PhD
Organization: Kaiser Foundation Research Institute
Original project title: Causal Analyses of Electronic Health Record Data for Assessing the Comparative Effectiveness of Treatment Regimens
HSRProj ID: 20152312
To cite this document, please use: Neugebauer R, Schmittdiel JA, Sofrygin O, Adams AS, Grant RW, van der Laan MJ. (2020). Methods to Assess the Effect of Dynamic Treatment Regimens Using Electronic Health Records. PatientCentered Outcomes Research Institute (PCORI). https://doi.org/10.25302/06.2020.ME.140312506
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