Sequential advantage selection (SAS) and penalized A-learning (PAL) methods are implement for selecting important variables involved in optimal individualized (dynamic) treatment regime in both single-stage or multi-stage studies.
| Package: | ITRSelect |
| Type: | Package |
| Version: | 1.0 |
| Date: | 2018-04-19 |
| License: | GPL-2 |
Shi, C. and Fan, A. and Song, R. and Lu, W. (2018) High-Dimensional A-Learing for Optimal Dynamic Treatment Regimes. Annals of Statistics, 46: 925-957.
Fan, A. and Lu, W. and Song, R. (2016) Sequential Advantage Selection for Optimal Treatment Regime. Annals of Applied Statistics, 10: 32-53.
Shi, C. and Song, R. and Lu, W. (2018) Concordance and Value Information Criteria for Optimal Treatment Decision. Under review.