R notebooks associated with the review article: "Causal inference methods for combining randomized controlled trials and observational studies: a review"
-
Updated
Jan 3, 2021 - R
Code review is systematic examination (sometimes referred to as peer review) of computer source code. It is intended to find mistakes overlooked in software development, improving the overall quality of software. Reviews are done in various forms such as pair programming, informal walkthroughs, and formal inspections.
R notebooks associated with the review article: "Causal inference methods for combining randomized controlled trials and observational studies: a review"
This is a notebook developed on Kaggle and brought to github. You can find the original notebook here https://www.kaggle.com/code/adrianograms/data-science-book-review-nlp/notebook
A DIY insert for Traveler's Notebook (regular size) to track movies.
Code accompanying a review article on interpretability and XAI. Includes examples for both simple (sparse regression) and sophisticated (concept bottlenecks) approaches, using notebooks that can be run in a few minutes.