Published February 16, 2022
| Version v1.1.0
Software
Open
Code for the paper "REFINE2: A tool to evaluate real-world performance of machine-learning based effect estimators for molecular and clinical studies"
Authors/Creators
- 1. Department of Statistics, Harvard University
- 2. Singapore Institute for Clinical Sciences Agency for Science, Technology and Research; Centre for Quantitative Medicine Duke-NUS Medical School
Description
Code to reproduce results in the paper REFINE2: A tool to evaluate real-world performance of machine-learning based effect estimators for molecular and clinical studies by Xiang Meng, Jonathan Huang
Files
drml-plasmode-master.zip
Files
(11.0 MB)
| Name | Size | Download all |
|---|---|---|
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md5:94463301345da08a4e0ba70892ddaf61
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11.0 MB | Preview Download |
Additional details
Related works
- Is supplement to
- https://github.com/mengeks/drml-plasmode/tree/v1.0.0 (URL)