An optimal stratified Simon two-stage design

Deepak Parashar*, Jack Bowden, Colin Starr, Lorenz Wernisch, Adrian Mander

*Corresponding author for this work

Research output: Contribution to journalArticle (Academic Journal)peer-review

8 Citations (Scopus)
320 Downloads (Pure)

Abstract

In Phase II oncology trials, therapies are increasingly being evaluated for their effectiveness in specific populations of interest. Such targeted trials require designs that allow for stratification based on the participants' molecular characterisation. A targeted design proposed by Jones and Holmgren (JH) Jones CL, Holmgren E: 'An adaptive Simon two-stage design for phase 2 studies of targeted therapies', Contemporary Clinical Trials 28 (2007) 654-661.determines whether a drug only has activity in a disease sub-population or in the wider disease population. Their adaptive design uses results from a single interim analysis to decide whether to enrich the study population with a subgroup or not; it is based on two parallel Simon two-stage designs. We study the JH design in detail and extend it by providing a few alternative ways to control the familywise error rate, in the weak sense as well as the strong sense. We also introduce a novel optimal design by minimising the expected sample size. Our extended design contributes to the much needed framework for conducting Phase II trials in stratified medicine.

Original languageEnglish
Pages (from-to)333-340
Number of pages8
JournalPharmaceutical Statistics
Volume15
Issue number4
Early online date2 Mar 2016
DOIs
Publication statusPublished - 1 Jul 2016

Keywords

  • Adaptive Enrichment
  • Phase II Oncology
  • Stratified Design

Fingerprint Dive into the research topics of 'An optimal stratified Simon two-stage design'. Together they form a unique fingerprint.

Cite this