Machine Learning Methods for Causal Inference with Observational Biomedical Data
Causal inference -- the process of drawing a conclusion about the impact of an exposure on an outcome -- is foundational to biomedicine, where it is used to guide intervention. The current gold-standard approach for causal inference is randomized experimentation, such as randomized controlled trials...
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| Language: | English |
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2020
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| Online Access: | https://doi.org/10.7916/d8-je06-eh12 |