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Activity Number:
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521
- Advances in Methods and Novel Applications for Data with Hierarchies and Under/Over-Dispersion
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Type:
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Invited
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Date/Time:
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Thursday, August 6, 2020 : 1:00 PM to 2:50 PM
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Sponsor:
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Section on Statistics in Epidemiology
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Abstract #309196
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Title:
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Meta-Analysis of Summary Statistics from K X M Tables Accounting for Over-Dispersion
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Author(s):
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Majnu John* and Heejung Bang and Victoria Landsman
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Companies:
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Northwell Health/Hofstra and Division of Biostatistics, University of California and University of Toronto
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Keywords:
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meta analysis;
overdispersion;
kappa statistic;
diagnostic odds ratio;
Dirichlet-Multinomial
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Abstract:
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Summary statistics such as diagnostic odds ratio or kappa statistic are derived from K x M tables which could be modeled using multinomial distribution. We present Dirichlet-Multinomial models to account for overdispersion in such scenarios. In a meta-analysis context we propose two methods under this modeling scenario, one based on Generalized Estimating Equations and the other a Mantel-Haenszel type method, to obtain a pooled estimate. We study the advantages and limitations of the two methods using simulations and illustrate the methods using real data analysis.
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Authors who are presenting talks have a * after their name.
