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Table 2 Bayesian random-effects (BRE) models by data features, sampling algorithms, and weighted inference models

From: Classical and Bayesian random-effects meta-analysis models with sample quality weights in gene expression studies

 

BRE Models

1

2

3

4

5

6

7

Data features

 Unweighted normalized intensity data

    

 Weighted normalized intensity data

   

Sampling algorithms

 Gibbs sampling

 

 Metropolis-Hasting sampling

      

Weighted inference models

 Unweighted model

  

  

 Weighted common effect

 

  

  

 Weighted between-study variance