ITRSelect-package: Variable Selection for Optimal Individualized Dynamic...
In ITRSelect: Variable Selection for Optimal Individualized Dynamic Treatment Regime
Description
Details
Author(s)
References
Description
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.
Details
Package: ITRSelect
Type: Package
Version: 1.0
Date: 2018-04-19
License: GPL-2
Author(s)
Chengchun Shi, Ailin Fan, Rui Song, Wenbin Lu
Maintainer: Chengchun Shi <cshi4@ncsu.edu>
References
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.
ITRSelect documentation built on May 1, 2019, 10:56 p.m.
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Description Details Author(s) References
Description
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.
Details
| Package: | ITRSelect |
| Type: | Package |
| Version: | 1.0 |
| Date: | 2018-04-19 |
| License: | GPL-2 |
Author(s)
Chengchun Shi, Ailin Fan, Rui Song, Wenbin Lu
Maintainer: Chengchun Shi <cshi4@ncsu.edu>
References
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.
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