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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.

ehsanx.github.io/TMLEworkshop/

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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.

ehsanx.github.io/TMLEworkshop/

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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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R Guide for TMLE in Medical Research Latest
Aug 24, 2021

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