| rsides-package {rsides} | R Documentation |
Subgroup search
Description
The package implements a family of subgroup search algorithms based on the SIDES (Subgroup Identification based on Differential Effect Search) method for clinical trials with normally distributed, binary and time-to-event endpoints. The package supports complex analysis models with an adjustment for continuous and categorical covariates (analysis of covariance models, logistic regression models, Cox proportional hazards models).
Details
| Package: | rsides |
| Type: | Package |
| Version: | 0.1 |
| Date: | 2024-05-27 |
| License: | GPL-2 |
Key functions included in the package:
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SubgroupSearch: Perform a SIDES-based subgroup search.
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GenerateReport: Generate a detailed summary of subgroup search results in a Microsoft Word format.
The package comes with three example data sets:
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continuous: Data set based on a trial with a continuous endpoint.
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binary: Data set based on a trial with a binary endpoint.
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survival: Data set based on a trial with a time-to-event endpoint.
Three case studies are included in this manual to illustrate subgroup identification in clinical trials:
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Example1: Subgroup search in a clinical trial with a continuous endpoint.
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Example2: Subgroup search in a clinical trial with a binary endpoint.
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Example3: Subgroup search in a clinical trial with a time-to-event endpoint.
References
Lipkovich, I., Dmitrienko, A., Denne, J., Enas, G. (2011). Subgroup Identification based on Differential Effect Search (SIDES): A recursive partitioning method for establishing response to treatment in patient subpopulations. Statistics in Medicine. 30, 2601-2621.
Lipkovich, I., Dmitrienko A. (2014). Strategies for identifying predictive biomarkers and subgroups with enhanced treatment effect in clinical trials using SIDES. Journal of Biopharmaceutical Statistics. 24, 130-153.
Lipkovich, I., Dmitrienko, A. (2014). Biomarker identification in clinical trials. Clinical and Statistical Considerations in Personalized Medicine. Carini, C., Menon, S., Chang, M. (editors). Chapman and Hall/CRC Press, New York.
Lipkovich, I., Dmitrienko, A., D'Agostino, R.B. (2017). Tutorial in Biostatistics: Data-driven subgroup identification and analysis in clinical trials. Statistics in Medicine. 36, 136-196.