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Comparing lagged linear correlation, lagged regression, Granger causality, and vector autoregression for uncovering associations in EHR data
Time series analysis methods have been shown to reveal clinical and biological associations in data collected in the electronic health record. We wish to develop reliable high-throughput methods for identifying adverse drug effects that are easy to implement and produce readily interpretable results...
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| Published in: | AMIA Annu Symp Proc |
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| Main Authors: | , , |
| Format: | Artigo |
| Language: | Inglês |
| Published: |
American Medical Informatics Association
2017
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| Subjects: | |
| Online Access: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5333294/ https://ncbi.nlm.nih.gov/pubmed/28269874 |
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