| Name : R-DevTreatRules
| |
| Version : 1.1.0
| Vendor : obs://build_opensuse_org/devel:languages:R
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| Release : lp153.4.7
| Date : 2024-06-14 11:40:22
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| Group : Development/Libraries/Other
| Source RPM : R-DevTreatRules-1.1.0-lp153.4.7.src.rpm
|
| Size : 0.45 MB
| |
| Packager : (none)
| |
| Summary : Develop Treatment Rules with Observational Data
|
Description :
Develop and evaluate treatment rules based on: (1) the standard
indirect approach of split-regression, which fits regressions
separately in both treatment groups and assigns an individual to the
treatment option under which predicted outcome is more desirable; (2)
the direct approach of outcome-weighted-learning proposed by Yingqi
Zhao, Donglin Zeng, A. John Rush, and Michael Kosorok (2012)
< doi:10.1080/01621459.2012.695674> (3) the direct approach, which we
refer to as direct-interactions, proposed by Shuai Chen, Lu Tian,
Tianxi Cai, and Menggang Yu (2017) < doi:10.1111/biom.12676>. Please see
the vignette for a walk-through of how to start with an observational
dataset whose design is understood scientifically and end up with a
treatment rule that is trustworthy statistically, along with an
estimation of rule benefit in an independent sample.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Leap_15.3/x86_64 |
