Description Details Author(s) References
The package implements a multi-marker molecular signature (MMMS) approach for treatment-specific subgroup identification. Time-to-event outcomes are currently supported, based on the approach described in Li et al. (2014). Other types of outcomes (e.g. binary and continuous outcomes) may be supported in future versions.
| Package: | MMMS |
| Type: | Package |
| Version: | 0.1 |
| Date: | 2014-03-18 |
| License: | GPL-3 |
The package contains one main function: MMMS(), which estimates composite scores for a multi-marker molecular signature (MMMS), identifies a subgroup based on the scores, and assesses the significance of the treatment-specific subgroup effect on the outcome of interest. MMMS() calls several functions that can also be called separately: get.score(), get.score.main(), get.subgroup(), etc.
Author: Lin Li, Tobias Guennel,Scott Marshall, Leo Wang-Kit Cheung
Contributors: Brigid M. Wilson, Dilan C. Paranagama
Maintainer: Lin Li <lli@biostatsolutions.com>
Lin Li, Tobias Guennel, Scott Marshall, Leo Wang-Kit Cheung (2014) A multi-marker molecular signature approach for treatment-specific subgroup identification with survival outcomes. The Pharmacogenomics Journal. http://dx.doi.org/10.1038/tpj.2014.9
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