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Count data models and Bayesian shrinkage priors with real-world data applications

2022-12-05

Abstract excerpt

<h4>Background: </h4> Studies in the public health field often consist of outcome measures such as number of hospital visits or number of laboratory tests per person.They arise in genomics, electronic health records, epidemic modeling among many other areas. These measures are highly skewed distributions and requires count data models for inference. Count data modeling is of prime importance in these fields of pub...

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Literature Corpus work
4886e5f7-9fb6-57a8-9d32-0d0cf4ed82ae
DOI
10.21203/rs.3.rs-2321885/v1
Open publication

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