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View All on GitHub Case-Control Weighted TMLE 3 months ago
AI Summary: Implement case-control weighted Targeted Maximum Likelihood Estimation (TMLE) in the Julia package TMLE.jl. This involves modifying existing nuisance parameter estimators within the package to incorporate weights based on the known prevalence probability of the outcome in the population, addressing bias arising from case-control sampling designs.
Complexity:
4/5
enhancement help wanted
A Julia implementation of the Targeted Minimum Loss-based Estimation
Julia
#causal-inference#double-robust#julia#machine-learning#non-parametric-statistics#statistics#targeted-learning#tmle