Software
- BAR: A Surrogate Sparse Cox’s Regression with Applications to Sparse High-Dimensional Massive Sample Size Time-to-Event Data
- BJASS method using Matlab: A New Joint Screening Method for Right-Censored Survival Data with Ultrahigh Dimensional Covariates
- BrokenAdaptiveRidge: An R package for performing L_0-based regressions using Cyclops
- C Code for Nonparametric comparison of ROC curves from Clustered Data
- CenBAR – An R package for Broken Adaptive Ridge AFT Model with Censored Data
- controlTest: An R package for two-sample nonparametric comparison of survival quantiles
- ELMCoxBAR - Extreme Learning Machine Cox Model for High Dimensional Survival Analysis
- Fastcmprsk: Fine-Gray Regression via Forward-Backward Scan
- FastJM: Semi-Parametric Joint Modeling of Longitudinal and Survival Data
- GLM-BAR: Scalable sparse regression for massive generalized linear models via broken adaptive ridge
- JMcmprsk - An R Package for Joint Modelling of Longitudinal and Survival Data with Competing Risks.
- LRci.surv: R Function for Likelihood Ratio Based Confidence Intervals for A Survival ProbabilityLRci.surv: R Function for Likelihood Ratio Based Confidence Intervals for A Survival Probability
- PAmeasures: Prediction and Accuracy Measures for Nonlinear Models and for Right-Censored Time-to-Event Data
- powerCompRisk: A power analysis tool for joint testing of cause-specific hazard and overall hazard
- R Code for E-BJ algorithm
- R code for Nonparametric comparison of ROC curves from Clustered Data
- TimeMetric: A Unified Framework for Evaluating Prediction Performance in Survival Models
- ZIBseq: Detect abundance differences across clinical conditions