Back to Subgroup analysis.
Back to QSPI Subgroup Analysis Working Group.
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Software for subgroup identification
R package SIDES implementing the regular SIDES method (Subgroup Identification Based on Differential Effect Search) based on Lipkovich et al. (2011) [last update: October 04, 2016]. The package is maintained by Marie-Karelle Riviere (email@example.com).
Download the SIDESxl package (an Excel add-in) which implements the regular SIDES and SIDEScreen methods [last update: March 25, 2016]. The package is maintained by Ilya Lipkovich (firstname.lastname@example.org).
Download the R functions, C++ functions (sides64.dll), and examples for the regular SIDES (Lipkovich et al., 2011)
and SIDEScreen (Lipkovich and Dmitrienko, 2014) methods [last update: December 13, 2016]. The functions and examples are provided by Ilya Lipkovich (email@example.com)
Interaction Trees method
Download the R code for the Interaction Trees method [last update: Dec 30, 2014].
Virtual Twins method
Reference: Dusseldorp and Mechelen (2014).
FindIt package for finding heterogeneous treatment effects [last update: February 27, 2015].
Reference: Imai and Ratkovic (2013).
Download the R functions for the Bayesian two-stage Lasso strategy for biomarker selection for time-to-event endpoints [last update: December 16, 2014]. The code is provided by Xuemin Gu (firstname.lastname@example.org).
Reference: Gu, Yin and Lee (2013).
Download the R code for the ROWSi method (Regularized Outcome Weighted Subgroup identification).
Reference: Yu et al. (2015).
Model-based Recursive Partitioning
R partykit package: A Toolkit for Recursive Partytioning, which can perform subgroup analyses using the functions lmtree(), glmtree() (or more generally, mob()) and ctree()). See examples of subgroup analysis in references: