sim.BA-package: sim.BA: Simulation-Based Bias Analysis for Observational...
In sim.BA: Simulation-Based Bias Analysis for Observational Studies
sim.BA-package R Documentation
sim.BA: Simulation-Based Bias Analysis for Observational Studies
Description
Allows user to conduct a simulation based quantitative bias analysis using covariate structures generated with individual-level data to characterize the bias arising from unmeasured confounding. Users can specify their desired data generating mechanisms to simulate data and quantitatively summarize findings in an end-to-end application using this package.
Author(s)
Maintainer: Rishi Desai rdesai@bwh.harvard.edu (ORCID)
Authors:
Noah Greifer ngreifer@iq.harvard.edu (ORCID)
sim.BA documentation built on May 29, 2024, 1:21 a.m.
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| sim.BA-package | R Documentation |
sim.BA: Simulation-Based Bias Analysis for Observational Studies
Description
Allows user to conduct a simulation based quantitative bias analysis using covariate structures generated with individual-level data to characterize the bias arising from unmeasured confounding. Users can specify their desired data generating mechanisms to simulate data and quantitatively summarize findings in an end-to-end application using this package.
Author(s)
Maintainer: Rishi Desai rdesai@bwh.harvard.edu (ORCID)
Authors:
Noah Greifer ngreifer@iq.harvard.edu (ORCID)
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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