Targeted maximum likelihood estimation (TMLE) enables the integration of machine learning approaches in comparative effectiveness studies. It is a doubly robust method, making use of both the outcome model and propensity score model to generate an unbiased estimate as long as at least one of the models is correctly specified.
machine-learning
r
medicine
code
reproducible
reproducible-research
tmle
statistical-inference
robust
epidemiology
implementation
workshop-materials
steps
double
ipw
inverse-probability-weights
propensity-score
g-computation
conference-workshop
comparative-effectiveness
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Updated
Jan 5, 2023 - HTML