The use of group sequential designs with common competing risks tests.

TitleThe use of group sequential designs with common competing risks tests.
Publication TypeJournal Article
Year of Publication2013
AuthorsLogan, BR, Zhang, M-J
JournalStat Med
Volume32
Issue6
Pagination899-913
Date Published2013 Mar 15
ISSN1097-0258
KeywordsBlood Platelets, Clinical Trials as Topic, Computer Simulation, Cord Blood Stem Cell Transplantation, Fluconazole, Humans, Kidney Diseases, Pyrimidines, Research Design, Risk, Sample Size, Statistics as Topic, Triazoles, Voriconazole
Abstract

Clinical trials are often performed using a group sequential design in order to allow investigators to review the accumulating data sequentially and possibly terminate the trial early for efficacy or futility. Standard methods for comparing survival distributions have been shown under varying levels of generality to follow an independent increments structure. In the presence of competing risks, where the occurrence of one type of event precludes the occurrence of another type of event, researchers may be interested in inference on the cumulative incidence function, which describes the probability of experiencing a particular event by a given time. This manuscript shows that two commonly used tests for comparing cumulative incidence functions, a pointwise comparison at a single point, and Gray's test, also follow the independent increments structure when used in a group sequential setting. A simulation study confirms the theoretical derivations even for modest trial sample sizes. We used two examples of clinical trials in hematopoietic cell transplantation to illustrate the techniques.

DOI10.1002/sim.5597
Alternate JournalStat Med
PubMed ID22945865
PubMed Central IDPMC3574186
Grant ListU10 HL069294 / HL / NHLBI NIH HHS / United States
R01 CA54706-10 / CA / NCI NIH HHS / United States
R01 CA054706 / CA / NCI NIH HHS / United States
U01 HL069294 / HL / NHLBI NIH HHS / United States
U24 CA076518 / CA / NCI NIH HHS / United States
U01HL069294 / HL / NHLBI NIH HHS / United States