Multiarm, multistage randomized controlled trials with stopping boundaries for efficacy and lack of benefit: An update to nstage
Alexandra Blenkinsop () and
Babak Choodari-Oskooei ()
Additional contact information
Alexandra Blenkinsop: MRC Clinical Trials Unit at UCL
Babak Choodari-Oskooei: MRC Clinical Trials Unit at UCL
Stata Journal, 2019, vol. 19, issue 4, 782-802
Abstract:
Royston et al.’s (2011, Trials 12: 81) multiarm, multistage (MAMS) framework for the design of randomized clinical trials uses intermediate outcomes to drop research arms early for lack of benefit at interim stages, increasing effi- ciency in multiarm designs. However, additionally permitting interim evaluation of efficacy on the primary outcome measure could increase adoption of the de- sign and result in practical benefits, such as savings in patient numbers and cost, should any efficacious arm be identified early. The nstage command, which aids the design of MAMS trial designs, has been updated to support this methodolog- ical extension. Operating characteristics can now be calculated for a design with binding or nonbinding stopping rules for lack of benefit and with efficacy stopping boundaries. An additional option searches for a design that strongly controls the familywise error rate at the desired level. We illustrate how the new features can be used to design a trial with the drop-down menu, using the original comparisons from the MAMS trial STAMPEDE as an example. The new functionality of the command will serve a broader range of trial objectives and increase efficiency of the design and thus increase uptake of the MAMS design in practice.
Keywords: nstage; nstagemenu; multiarm multistage; familywise error rate; efficacy stopping boundaries; adaptive designs (search for similar items in EconPapers)
Date: 2019
Note: to access software from within Stata, net describe http://www.stata-journal.com/software/sj19-4/st0175_2/
References: Add references at CitEc
Citations:
Downloads: (external link)
http://www.stata-journal.com/article.html?article=st0175_2 link to article purchase
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:tsj:stataj:v:19:y:2019:i:4:p:782-802
Ordering information: This journal article can be ordered from
http://www.stata-journal.com/subscription.html
DOI: 10.1177/1536867X19893616
Access Statistics for this article
Stata Journal is currently edited by Nicholas J. Cox and Stephen P. Jenkins
More articles in Stata Journal from StataCorp LLC
Bibliographic data for series maintained by Christopher F. Baum () and Lisa Gilmore ().