Goodness-of-fit test for response adaptive clinical trials

Yanqing Yi and Xikui Wang

Statistics & Probability Letters, 2007, vol. 77, issue 10, 1014-1020

Abstract: Much attention has been given in recent years to adaptive designs of clinical trials as ethical alternatives when the traditional randomization becomes ethically infeasible. But such designs create dependency among the collected data, and hence statistical methods for adaptive clinical trials are more complex than those for traditional randomized clinical trials. In this paper, we examine some extensions of common statistical methods for independent data. Under regularity conditions, the logarithm of likelihood ratio statistic 2ln[lambda] for dependent data is shown to be asymptotically chi-square distributed, providing a foundation for asymptotic analysis of adaptive clinical trials with k treatments. We also discuss both the consistency and the asymptotic normality of the maximum likelihood estimators for a wide class of adaptive designs.

Keywords: Clinical; trials; Response; adaptive; designs; Consistency; Asymptotic; normality; Chi-square; distribution (search for similar items in EconPapers)
Date: 2007
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0167-7152(07)00041-7
Full text for ScienceDirect subscribers only

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:eee:stapro:v:77:y:2007:i:10:p:1014-1020

Ordering information: This journal article can be ordered from
http://www.elsevier.com/wps/find/supportfaq.cws_home/regional
https://shop.elsevie ... _01_ooc_1&version=01

Access Statistics for this article

Statistics & Probability Letters is currently edited by Somnath Datta and Hira L. Koul

More articles in Statistics & Probability Letters from Elsevier
Bibliographic data for series maintained by Catherine Liu ().