Simon’s minimax and optimal and Jung’s admissible two-stage design with or without curtailment

School Of Mathematical Sciences

Keywords

st0227, simontwostage, Simon’s two-stage design, Jung’s admissible design, phase II trials, conditional power, curtailment

Research output: Contribution to Journal/Magazine › Journal article › peer-review

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Simon’s minimax and optimal and Jung’s admissible two-stage design with or without curtailment. / Kunz, Cornelia; Kieser, Meinhard.
In: Stata Journal, Vol. 11, No. 2, 2011, p. 240-254.

Research output: Contribution to Journal/Magazine › Journal article › peer-review

Bibtex

@article{887446aa5cb94484953a6b0215c540c6,

title = "Simon{\textquoteright}s minimax and optimal and Jung{\textquoteright}s admissible two-stage design with or without curtailment",

abstract = "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.",

keywords = "st0227, simontwostage, Simon{\textquoteright}s two-stage design, Jung{\textquoteright}s admissible design, phase II trials, conditional power, curtailment",

author = "Cornelia Kunz and Meinhard Kieser",

year = "2011",

language = "English",

volume = "11",

pages = "240--254",

journal = "Stata Journal",

issn = "1536-867X",

publisher = "DPC Nederland",

number = "2",

}

RIS

TY - JOUR

T1 - Simon’s minimax and optimal and Jung’s admissible two-stage design with or without curtailment

AU - Kunz, Cornelia

AU - Kieser, Meinhard

PY - 2011

Y1 - 2011

N2 - 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.

AB - 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.

KW - st0227

KW - simontwostage

KW - Simon’s two-stage design

KW - Jung’s admissible design

KW - phase II trials

KW - conditional power

KW - curtailment

M3 - Journal article

VL - 11

SP - 240

EP - 254

JO - Stata Journal

JF - Stata Journal

SN - 1536-867X

IS - 2

ER -

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