matching-and-doubly-robust-estimators
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🎯 Best for:Researchers performing causal inference on observational health datasets.
What is matching-and-doubly-robust-estimators?
Replaces traditional multivariate linear regression with doubly robust estimators and propensity score matching. Uses NHANES data to estimate healthy cholesterol effects on blood pressure through robust statistical modeling.
Tech Stack
RMathematics & Statistics
Why matching-and-doubly-robust-estimators?
- • Reduces selection bias
- • Handles non-linearities
- • Reproducible R-based workflow
Limitations
- • Requires R proficiency
- • Specific to NHANES schema
- • High statistical complexity
2/10/2024
Last Update
0
Forks
0
Issues
Apache-2.0
License
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Competitor Cost
-$1,440
/ year (est. based on Stata)
Self-Hosted
$0
/ year
Team Size10 Users
150+
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