TARGENE/TMLE.jl
A Julia implementation of the Targeted Minimum Loss-based Estimation
This tool helps researchers determine the true effect of interventions, like a new medical treatment or a genetic variant, using real-world observational or experimental data. It takes your datasets (e.g., patient records, genetic profiles) and outputs robust estimates of causal relationships, even with complex or high-dimensional information. It's designed for biostatisticians, epidemiologists, and clinical researchers who need reliable causal inference.
Use this if you need to confidently estimate the causal effect of a treatment or exposure in a study, especially when dealing with complex data that might challenge traditional statistical methods.
Not ideal if you are looking for simple correlation analysis or if your data and research question can be adequately addressed with basic regression models.
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Language
Julia
License
MIT
Category
Last pushed
Nov 26, 2025
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