Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
5121980 | Journal of Clinical Epidemiology | 2017 | 60 Pages |
Abstract
Well-established econometric methods such as DiD and IVA are commonly used to address unmeasured confounding in nonrandomized longitudinal studies, but researchers often fail to take full advantage of available longitudinal information. A range of promising new methods have been developed, but further studies are needed to understand their relative performance in different contexts before they can be recommended for widespread use.
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Authors
Adam J. Streeter, Nan Xuan Lin, Louise Crathorne, Marcela Haasova, Christopher Hyde, David Melzer, William E. Henley,