Causal inference and observational data
Abstract Observational studies using causal inference frameworks can provide a feasible alternative to randomized controlled trials. Advances in statistics, machine learning, and access to big data facilitate unraveling complex causal relationships from observational data across healthcare, social s...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
BMC
2023-10-01
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| Series: | BMC Medical Research Methodology |
| Online Access: | https://doi.org/10.1186/s12874-023-02058-5 |