Document Detail


Modeling the dependence between the number of trials and the success probability in binary trials.
MedLine Citation:
PMID:  16401285     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
A model for binary trials based on a bivariate generalization of the Poisson process for both the number of successes and number of trials with the transition rates dependent on the accumulating numbers of successes and trials is used to reanalyze some recently published data of Zhu, Eickhoff, and Kaiser (2003, Biometrics59, 955-961). This modeling admits alternative distributions for the numbers of trials and the numbers of successes conditional on the number of trials which generalize the Poisson and binomial distributions, without some of the restrictions apparent in the beta-binomial-Poisson mixed modeling of Zhu et al. (2003). Some quite marked differences between the results of this analysis and those described in Zhu et al. (2003) are apparent.
Authors:
M J Faddy; D M Smith
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Publication Detail:
Type:  Comparative Study; Journal Article    
Journal Detail:
Title:  Biometrics     Volume:  61     ISSN:  0006-341X     ISO Abbreviation:  Biometrics     Publication Date:  2005 Dec 
Date Detail:
Created Date:  2006-01-10     Completed Date:  2006-03-07     Revised Date:  2006-11-15    
Medline Journal Info:
Nlm Unique ID:  0370625     Medline TA:  Biometrics     Country:  United States    
Other Details:
Languages:  eng     Pagination:  1112-4     Citation Subset:  IM    
Affiliation:
School of Mathematical Sciences, Queensland University of Technology, Brisbane, Australia. m.faddy@qut.edu.au
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MeSH Terms
Descriptor/Qualifier:
Animals
Behavior, Animal
Binomial Distribution
Birds
Data Interpretation, Statistical*
Feeding Behavior
Models, Statistical*
Poisson Distribution
Research Design*

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