Biomarker Selection in Penalized Regression Models
Nils Ternes [aut, cre],
Federico Rotolo [aut], Stefan Michiels [ctr]
Provides a useful R tool for developing and validating prediction models, estimate expected survival of patients and visualize them graphically.
Most of the implemented methods are based on penalized regressions such as: the lasso (Tibshirani R (1996)), the elastic net (Zou H et al. (2005) <doi:10.1111/j.1467-9868.2005.00503.x>), the adaptive lasso (Zou H (2006) <doi:10.1198/016214506000000735>), the stability selection (Meinshausen N et al. (2010) <doi:10.1111/j.1467-9868.2010.00740.x>), some extensions of the lasso (Ternes et al. (2016) <doi:10.1002/sim.6927>), some methods for the interaction setting (Ternes N et al. (2016) <doi:10.1002/bimj.201500234>), or others.
A function generating simulated survival data set is also provided.
cobs, corpcor, devtools, glmnet, graphics, grplasso, MASS,
Matrix, mboost, parallel, plsRcox, pROC, PRROC, RCurl, stats,
survAUC, survival

Provides some tools for developing and validating prediction models, estimate expected survival of patients and visualize them graphically. Most of the implemented methods are based on penalized regressions such as: the lasso (Tibshirani R (1996)), the elastic net (Zou H et al. (2005) <doi:10.1111/j.1467-9868.2005.00503.x>), the adaptive lasso (Zou H (2006) <doi:10.1198/016214506000000735>), the stability selection (Meinshausen N et al. (2010) <doi:10.1111/j.1467-9868.2010.00740.x>), some extensions of the lasso (Ternes et al. (2016) <doi:10.1002/sim.6927>), some methods for the interaction setting (Ternes N et al. (2016) <doi:10.1002/bimj.201500234>), or others. A function generating simulated survival data set is also provided.

Nils Ternes [aut],
Federico Rotolo [aut], Stefan Michiels [aut, cre]

Utility Functions, Datasets and Extended Examples for Survival
Analysis
c(person("Annika","Tillander", role="ctb"),
person("Andreas","Karlsson", role="aut"),
person("Johan","Zetterqvist", role="ctb"),
person("Peter","Strom", role="ctb"),
person("Benedicte","Delcoigne", role="ctb"),
person("Mark","Clements", role=c("aut","cre"), email="mark.clements@ki.se")
)
Annika Tillander [ctb],
Andreas Karlsson [aut],
Johan Zetterqvist [ctb],
Peter Strom [ctb],
Benedicte Delcoigne [ctb],
Mark Clements [aut, cre]
Utility functions, datasets and extended examples for survival analysis. This includes a range of other packages, some simple wrappers for time-to-event analyses, datasets, and extensive examples in HTML with R scripts. The package also supports the course Biostatistics III entitled "Survival analysis for epidemiologists in R".