speff2trial
| swMATH ID: | 15614 |
| Software Authors: | Juraska, Michal; Gilbert, Peter B.; Lu, Xiaomin; Zhang, Min; Davidian, Marie; Tsiatis, Anastasios A. |
| Description: | R package speff2trial: Semiparametric efficient estimation for a two-sample treatment effect. The package performs estimation and testing of the treatment effect in a 2-group randomized clinical trial with a quantitative, dichotomous, or right-censored time-to-event endpoint. The method improves efficiency by leveraging baseline predictors of the endpoint. The inverse probability weighting technique of Robins, Rotnitzky, and Zhao (JASA, 1994) is used to provide unbiased estimation when the endpoint is missing at random. |
| Homepage: | https://cran.r-project.org/web/packages/speff2trial/index.html |
| Source Code: |
 https://github.com/cran/speff2trial
|
| Dependencies: | R |
| Keywords: | semiparametric efficient estimation; two-sample treatment effect |
| Related Software: | KernSmooth; LaplacesDemon; mvtnorm; RankAggreg; sn; ORL; SuperLearner |
| Cited in: | 3 Documents |
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Cited by 8 Authors
| 1 | Baumgartner, Richard |
| 1 | Chen, Feifei |
| 1 | Datta, Somnath |
| 1 | Kulasekera, Karunarathna B. |
| 1 | Laber, Eric B. |
| 1 | Meintanis, Simos George |
| 1 | Siriwardhana, Chathura |
| 1 | Zhu, Lixing |
Cited in 3 Serials
| 1 | International Statistical Review |
| 1 | Journal of Statistical Computation and Simulation |
| 1 | Journal of Applied Statistics |
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