Literature DB >> 20183436

Optimal two-stage designs allowing flexibility in number of subjects for phase II clinical trials.

Nobuyuki Masaki1, Tatsuki Koyama, Isao Yoshimura, Chikuma Hamada.   

Abstract

Phase II clinical trials are conducted to test whether a drug has a minimum desired effect and to assess whether further development of the drug is warranted. They are often designed as one-arm trials with response rate as the primary endpoint, and a two-stage design is often used to ensure early termination of the trial for futility. To control the type I error rate and guarantee the specified power of the study, planned sample sizes for both stages must be rigidly followed, but a literature review suggests that actual sample size often differs from that planned. We propose to extend simple two-stage designs to allow more flexible sampling plans in both stages. Our designs are preferable to similar extensions proposed to control type I and II error probabilities. Additionally, our assumptions regarding distribution of the actual sample size at the end of stage 1 are more lenient. A list of optimal designs for typical error rates and the selected null and alternative response rates is presented.

Mesh:

Year:  2009        PMID: 20183436     DOI: 10.1080/10543400902964167

Source DB:  PubMed          Journal:  J Biopharm Stat        ISSN: 1054-3406            Impact factor:   1.051


  7 in total

1.  Suspension of accrual in phase II cancer clinical trials.

Authors:  Yimei Li; Rosemarie Mick; Daniel F Heitjan
Journal:  Clin Trials       Date:  2015-01-07       Impact factor: 2.486

2.  [A novel puncture instrument: the Provox-Vega® puncture set. Its use in voice prosthesis insertion following laryngectomy].

Authors:  K J Lorenz; F M Hilgers; H Maier
Journal:  HNO       Date:  2013-01       Impact factor: 1.284

3.  Hypothesis testing for two-stage designs with over or under enrollment.

Authors:  Donglin Zeng; Fei Gao; Kuolung Hu; Catherine Jia; Joseph G Ibrahim
Journal:  Stat Med       Date:  2015-03-25       Impact factor: 2.373

4.  A Bayesian approach for unplanned sample sizes in phase II cancer clinical trials.

Authors:  Yimei Li; Rosemarie Mick; Daniel F Heitjan
Journal:  Clin Trials       Date:  2012-04-20       Impact factor: 2.486

5.  Inefficiency of two-stage designs in phase II oncology clinical trials with high proportion of inevaluable patients.

Authors:  Lingyun Ji; Jennifer Whangbo; John E Levine; Todd A Alonzo
Journal:  Contemp Clin Trials       Date:  2022-07-19       Impact factor: 2.261

6.  Statistical inference for extended or shortened phase II studies based on Simon's two-stage designs.

Authors:  Junjun Zhao; Menggang Yu; Xi-Ping Feng
Journal:  BMC Med Res Methodol       Date:  2015-06-07       Impact factor: 4.615

7.  A Rescue Strategy for Handling Unevaluable Patients in Simon's Two Stage Design.

Authors:  Lisa Belin; Philippe Broët; Yann De Rycke
Journal:  PLoS One       Date:  2015-09-14       Impact factor: 3.240

  7 in total

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