A multiplicative random effects model for meta-analysis with application to estimation of admixture component.

Article

A multiplicative random effects model for meta-analysis with application to estimation of admixture component.

Biometrics - 1 Sept 1995

Li Z

Abstract excerpt

A multiplicative random effects model is constructed for combining results from different studies. An EM algorithm is developed for the maximum likelihood estimator under the Empirical Bayes framework. The method is applied to estimation of the admixture component in admixed populations. The admi...

Topics

Black or African American
Algorithms
Alleles
Biometry
Black People
DNA Fingerprinting
Epidemiologic Methods
Gene Frequency
Genetics, Medical
Humans
Mathematics
Meta-Analysis as Topic
Models, Statistical
Probability
Random Allocation
United States

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