exampleAE


This simulated data indicates the adverse events of 100 individuals about 5 events (0: absence, 1: presence)


datasets

Spontaneous adverse event reports have a high potential for detecting adverse drug reactions. However, due to their dimension, the analysis of such databases requires statistical methods. We propose to use a logistic regression whose sparsity is viewed as a model selection challenge. Since the model space is huge, a Metropolis-Hastings algorithm carries out the model selection by maximizing the BIC criterion.

exampleAE: A simulated data

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Examples