simdat: An example dataset
In MMMS: Multi-Marker Molecular Signature for Treatment-specific Subgroup Identification
Description
Usage
Format
References
Examples
Description
An example dataset with time-to-event outcomes, biomarker values and covariates.
Usage
1
Format
The data contains a list of length 9:
time: Time variable.
event: Event variable.
treat: Treatment variable.
cont: Biomarker data – continuous values.
burden: Biomarker data – burden scores of mutations.
snps: Biomarker data – genotypes of single nucleotide polymorphisms.
covar: covariates.
sub.true: true subgroup size.
bio: combined biomarker data (cbind(cont,burden,snps)).
References
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
Examples
1
MMMS documentation built on May 2, 2019, 8:25 a.m.
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Description Usage Format References Examples
Description
An example dataset with time-to-event outcomes, biomarker values and covariates.
Usage
1 |
Format
The data contains a list of length 9:
time: Time variable.
event: Event variable.
treat: Treatment variable.
cont: Biomarker data – continuous values.
burden: Biomarker data – burden scores of mutations.
snps: Biomarker data – genotypes of single nucleotide polymorphisms.
covar: covariates.
sub.true: true subgroup size.
bio: combined biomarker data (cbind(cont,burden,snps)).
References
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
Examples
1 |
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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