Bayesian semi-parametric joint modeling of biomarker data with a latent changepoint: assessing the temporal performance of Enzyme-Linked Immunosorbent Assay (ELISA) testing for paratuberculosis

Journal article

Open access

Michelle Norris, Wesley O Johnson and Ian A Gardner

Statistics and its interface, Vol.7(4), pp.417-438

2014

Handle:

https://hdl.handle.net/20.500.12741/rep:5438

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https://doi.org/10.4310/SII.2014.v7.n4.a1View

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Title: Bayesian semi-parametric joint modeling of biomarker data with a latent changepoint: assessing the temporal performance of Enzyme-Linked Immunosorbent Assay (ELISA) testing for paratuberculosis
Creators: Michelle Norris - Department of Mathematics and Statistics, California State University, Sacramento, Calif., U.S.A
Wesley O Johnson - Department of Statistics, University of California at Irvine
Ian A Gardner - Department of Health Management, Atlantic Veterinary College, University of Prince Edward Island, Charlottetown, Prince Edward Island, Canada
Academic Unit: Mathematics/Statistics Department
Publication Details: 2014
Identifiers: 99257847573401671; https://hdl.handle.net/20.500.12741/rep:5438; https://doi.org/10.4310/SII.2014.v7.n4.a1
Language: English