Document Detail


Statistical inference of risk difference in K correlated 2 x 2 tables with structural zero.
MedLine Citation:
PMID:  19152229     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
K correlated 2 x 2 tables with structural zero are commonly encountered in infectious disease studies. A hypothesis test for risk difference is considered in K independent 2 x 2 tables with structural zero in this paper. Score statistic, likelihood ratio statistic and Wald-type statistic are proposed to test the hypothesis on the basis of stratified data and pooled data. Sample size formulae are derived for controlling a pre-specified power or a pre-determined confidence interval width. Our empirical results show that score statistic and likelihood ratio statistic behave better than Wald-type statistic in terms of type I error rate and coverage probability, sample sizes based on stratified test are smaller than those based on the pooled test in the same design. A real example is used to illustrate the proposed methodologies.
Authors:
Shun-Fang Wang; Nian-Sheng Tang; Bo Zhang; Xue-Ren Wang
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Publication Detail:
Type:  Comparative Study; Journal Article; Research Support, Non-U.S. Gov't    
Journal Detail:
Title:  Pharmaceutical statistics     Volume:  8     ISSN:  1539-1612     ISO Abbreviation:  Pharm Stat     Publication Date:    2009 Oct-Dec
Date Detail:
Created Date:  2009-12-21     Completed Date:  2010-02-22     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  101201192     Medline TA:  Pharm Stat     Country:  England    
Other Details:
Languages:  eng     Pagination:  317-32     Citation Subset:  IM    
Copyright Information:
Copyright (c) 2009 John Wiley & Sons, Ltd.
Affiliation:
Department of Statistics, Yunnan University, Kunming 650091, People's Republic of China.
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MeSH Terms
Descriptor/Qualifier:
Biostatistics / methods*
Computer Simulation / statistics & numerical data
Confidence Intervals
Models, Statistical*
Risk Assessment / methods*
Sample Size

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


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