Document Detail

Issues of efficiency in combining proportions of deaths from several clinical trials.
MedLine Citation:
PMID:  3659666     Owner:  NLM     Status:  MEDLINE    
The Mantel-Haenszel test provides a straightforward method to combine results from several clinical trials when only summary information, such as the proportion of deaths, is available for each trial. More efficient tests, such as the stratified logrank test, should be used if the survival and censoring times are known for all individuals, but in practice, the cost and effort of obtaining this information may be prohibitive. The purpose of this paper is to derive a general expression for the asymptotic relative efficiency (ARE) of the Mantel-Haenszel test with respect to the stratified logrank test, and to compute the ARE in situations which are likely to be of practical interest. The results show that under realistic assumptions about the survival distribution, losses to follow-up and duration of accrual, the ARE frequently exceeds 80 per cent. An example is given to show the usefulness of the approach when combining proportions of deaths from several cancer clinical trials.
M Buyse; L M Ryan
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Publication Detail:
Type:  Comparative Study; Journal Article; Research Support, U.S. Gov't, Non-P.H.S.; Research Support, U.S. Gov't, P.H.S.    
Journal Detail:
Title:  Statistics in medicine     Volume:  6     ISSN:  0277-6715     ISO Abbreviation:  Stat Med     Publication Date:    1987 Jul-Aug
Date Detail:
Created Date:  1987-11-05     Completed Date:  1987-11-05     Revised Date:  2007-11-15    
Medline Journal Info:
Nlm Unique ID:  8215016     Medline TA:  Stat Med     Country:  ENGLAND    
Other Details:
Languages:  eng     Pagination:  565-76     Citation Subset:  IM    
Department of Biostatistics, Harvard School of Public Health, Boston, Massachusetts.
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MeSH Terms
Clinical Trials as Topic*
Data Interpretation, Statistical*
Evaluation Studies as Topic
Preoperative Care
Random Allocation
Rectal Neoplasms / mortality,  radiotherapy
Grant Support

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