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Group comparisons and hierarchical modeling

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A First Course in Bayesian Statistical Methods

Part of the book series: Springer Texts in Statistics ((STS))

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Abstract

In this chapter we discuss models for the comparison of means across groups. In the two-group case, we parameterize the two population means by their average and their difference. This type of parameterization is extended to the multigroup case, where the average group mean and the differences across group means are described by a normal sampling model. This model, together with a normal sampling model for variability among units within a group, make up a hierarchical normal model that describes both within-group and between-group variability. We also discuss an extension to this normal hierarchical model which allows for across-group heterogeneity in variances in addition to heterogeneity in means.

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Correspondence to Peter D. Hoff .

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Hoff, P.D. (2009). Group comparisons and hierarchical modeling. In: A First Course in Bayesian Statistical Methods. Springer Texts in Statistics. Springer, New York, NY. https://doi.org/10.1007/978-0-387-92407-6_8

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