Using Approximation Algorithms to Build Evidence Factors and Related Designs for Observational Studies
<p>Observational or nonrandomized studies of treatment effects are often constructed with the aid of polynomial-time algorithms that optimally form matched treatment-control pairs or matched sets. Because each observational comparison may potentially be affected by bias, investigators often re...
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| مؤلفون آخرون: | , |
| منشور في: |
2019
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