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J. Staudenmayer

1 paper hereh-index 436.9k citations177 works total

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  • middle author1

Across the 1 of 1 paper where every author was matched, so the position is known.

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  • math.ST1

identity via Semantic Scholar / OpenAlex

most citedGeneral Design Bayesian Generalized Linear Mixed Models

136 citations · 136 across the 1 of their papers we have counts for

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Showing math.STShow all

1 paper · 1 filter

math.ST2006★ 136 cited

General Design Bayesian Generalized Linear Mixed Models

Y. Zhao, J. Staudenmayer, B. A. Coull +1

Linear mixed models are able to handle an extraordinary range of complications in regression-type analyses. Their most common use is to account for within-subject correlation in lo…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.