Simon's minimax and optimal and Jung's admissible two-stage designs with or without curtailment
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) a...
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| Main Authors: | , |
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| Format: | Article (Journal) |
| Language: | English |
| Published: |
July 1, 2011
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| In: |
The Stata journal
Year: 2011, Volume: 11, Issue: 2, Pages: 240-254 |
| ISSN: | 1536-8734 |
| DOI: | 10.1177/1536867X1101100205 |
| Online Access: | Verlag, lizenzpflichtig, Volltext: https://doi.org/10.1177/1536867X1101100205
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| Author Notes: | Cornelia U. Kunz, Meinhard Kieser |
| Summary: | 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. |
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| Item Description: | Gesehen am 11.07.2022 |
| Physical Description: | Online Resource |
| ISSN: | 1536-8734 |
| DOI: | 10.1177/1536867X1101100205 |