Group sequential clinical trial designs for normally distributed outcome variables

Michael Grayling, James M. S. Wason (james.wason@mrc-bsu.cam.ac.uk) and Adrian Mander (mandera@cardiff.ac.uk)
Additional contact information
James M. S. Wason: MRC Biostatistics Unit

Stata Journal, 2018, vol. 18, issue 2, 416-431

Abstract: In a group sequential clinical trial, accumulated data are analyzed at numerous time points to allow early decisions about a hypothesis of interest. These designs have historically been recommended for their ethical, administrative, and economic benefits. In this article, we first discuss a collection of new commands for computing the stopping boundaries and required group size of various classi- cal group sequential designs, assuming a normally distributed outcome variable. Then, we demonstrate how the performance of several designs can be compared graphically.

Keywords: doubletriangular; haybittlepeto; innerwedge; powerfamily; triangular; wangtsiatis; clinical trial design; group sequential (search for similar items in EconPapers)
Date: 2018
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.stata-journal.com/article.html?article=st0529 link to article purchase
http://www.stata-journal.com/software/sj18-2/st0529/ (text/html)

Related works:
Working Paper: Group sequential clinical trial designs for normally distributed outcome variables (2017)
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:18:y:2018:i:2:p:416-431

Ordering information: This journal article can be ordered from
http://www.stata-journal.com/subscription.html

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 (baum@bc.edu) and Lisa Gilmore (lgilmore@stata.com).