olssol/salbm: Sensitivity Analysis for Longitudinal Binary Missing Data
In clinical trials with repeated binary measures, the outcome may be missing. In this package random forests are employed to model the joint probability of missingness and the binary outcome. A sensitivity parameter is employed to estimate the underlying joint distribution of the binary outcome.
Getting started
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Package details |
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| Author | Daniel O. Scharfstein [aut], Aidan McDermott [aut, cre] |
| Maintainer | Aidan McDermott <amcderm1@jhu.edu> |
| License | GPL-2 |
| Version | 3.0.0 |
| Package repository | View on GitHub |
| Installation |
Install the latest version of this package by entering the following in R:
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