Document Detail


Monitoring a three-armed clinical trial with survival endpoints: Fisher's least significant difference approach.
MedLine Citation:
PMID:  15468765     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
Researchers have long recognized the importance of monitoring trials to determine whether to terminate a trial early or change a trial because of a substantial treatment effect. Fisher's least significant difference (LSD) procedure has been suggested by Proschan et al. [Proschan, M. A., Follmann, D. A., Geller, N. L. (1994). Monitoring multi-armed trials. Stat. Med. 13:1441-1452] to control the overall type I error rate for trials with three or more arms and survival endpoints. In this paper we propose an alternative Fisher's LSD interim monitoring procedure that uses the same adjusted significance levels for the pairwise tests as for the global test; it continues performing a global hypothesis test at looks subsequent to a look where a global null hypothesis was rejected. We also examine revised Proschan et al. approach that uses the O'Brien-Fleming two-armed trial boundaries for pairwise tests. A simulation study shows that compared to the approach proposed by Proschan et al., the procedure we propose is more powerful and produces overall type I error rates closer to the nominal values when all groups are truly equivalent. For the scenarios examined, the overall type I error rates and power of the proposed approach are virtually equivalent to those of the revised Proschan et al. approach.
Authors:
Pai-Lien Chen; Rosalie Dominik
Related Documents :
3607205 - Kendall's and spearman's correlation coefficients in the presence of a blocking variable.
19127475 - Performance of selected nonparametric tests for discrete longitudinal data under differ...
16981185 - An efficient test for the analysis of dichotomized variables when the reliability is kn...
17365225 - Noninferiority testing beyond simple two-sample comparison.
2173535 - Elimination of mycoplasmal plate agglutination cross-reactions in sera from chickens in...
20645785 - Antifungal activity of essential oil from fruits of indian cuminum cyminum.
Publication Detail:
Type:  Journal Article; Research Support, U.S. Gov't, Non-P.H.S.; Research Support, U.S. Gov't, P.H.S.    
Journal Detail:
Title:  Journal of biopharmaceutical statistics     Volume:  14     ISSN:  1054-3406     ISO Abbreviation:  J Biopharm Stat     Publication Date:  2004 Aug 
Date Detail:
Created Date:  2004-10-07     Completed Date:  2005-01-26     Revised Date:  2007-11-15    
Medline Journal Info:
Nlm Unique ID:  9200436     Medline TA:  J Biopharm Stat     Country:  United States    
Other Details:
Languages:  eng     Pagination:  791-801     Citation Subset:  IM    
Affiliation:
Division of Biostatistics, Family Health International, Research Triangle Park, NC 27709, USA. pchen@fhi.org
Export Citation:
APA/MLA Format     Download EndNote     Download BibTex
MeSH Terms
Descriptor/Qualifier:
Algorithms
Clinical Trials as Topic / statistics & numerical data*
Computer Simulation
Data Interpretation, Statistical
Endpoint Determination / statistics & numerical data*
Female
Humans
Pregnancy
Research Design
Survival Analysis*
Grant Support
ID/Acronym/Agency:
N01-HD-7-3271/HD/NICHD NIH HHS

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


Previous Document:  Nonparametric procedures for simultaneous identification of the minimum effective dose in each of se...
Next Document:  Evaluating assumptions for least squares analysis using the general linear model: a guide for the ph...