Simon's minimax and optimal and Jung's admissible two-stage designs with or without curtailment
| dc.creator | Kunz, Cornelia U. | |
| dc.creator | Kieser, Meinhard | |
| dc.date | 2017-04-01T19:26:05Z | |
| dc.date.accessioned | 2026-07-09T08:15:38Z | |
| dc.description | This article describes a new Stata command called simontwostage, which calculates the critical values and sample sizes for two-stage designs for phase II oncology trials. Options are provided to determine the minimax and optimal designs proposed by Simon (1989, Controlled Clinical Trials 10: 1–10) and admissible designs described by Jung et al. (2004, Statistics in Medicine 23: 561–569). Furthermore, nonstochastic and stochastic curtailment rules can be implemented in both stages of the trial, and the properties of the curtailed designs can be examined. | |
| dc.identifier | Other:st0227 | |
| dc.identifier | doi:10.22004/ag.econ.180079 | |
| dc.identifier | https://ageconsearch.umn.edu/record/180079/files/sjart_st0227.pdf | |
| dc.identifier | http://ageconsearch.umn.edu/record/180079 | |
| dc.identifier.uri | http://hdl.handle.net/123456789/597183 | |
| dc.language | eng | |
| dc.publisher | ||
| dc.source | http://ageconsearch.umn.edu/record/180079 | |
| dc.title | Simon's minimax and optimal and Jung's admissible two-stage designs with or without curtailment | |
| dc.type | Text |
