Reproducible watchers for research
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Updated
Aug 5, 2022 - HTML
Reproducible watchers for research
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.
Support to transparency of media financing in Serbia with the help of open data and visualization. The repository contains data and R code for web application and analysis of this process.
a template for sharing a repo2docker container, intended for use with https://vsoch.github.io/containershare
A computational pipeline in Matlab for clustering of the Iris dataset
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