Resources for the evaluation of the performance of methods that aim to estimate the magnitude (relative risk) of the effect of a drug on an outcome. These resources include reference sets for evaluating methods on real data, as well as functions for inserting simulated effects in real data based on negative control drug-outcome pairs. Further included are functions for the computation of the minimum detectable relative risks and functions for computing performance statistics such as predictive accuracy, error and bias.
Package details |
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Maintainer | Martijn Schuemie <schuemie@ohdsi.org> |
License | Apache License 2.0 |
Version | 2.3.0 |
URL | https://github.com/OHDSI/MethodEvaluation |
Package repository | View on GitHub |
Installation |
Install the latest version of this package by entering the following in R:
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