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A Bayesian hierarchical model for prediction of latent health states from multiple data sources with application to active surveillance of prostate cancer - MaRDI portal

A Bayesian hierarchical model for prediction of latent health states from multiple data sources with application to active surveillance of prostate cancer (Q5283323)

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scientific article; zbMATH DE number 6750981
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English
A Bayesian hierarchical model for prediction of latent health states from multiple data sources with application to active surveillance of prostate cancer
scientific article; zbMATH DE number 6750981

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    A Bayesian hierarchical model for prediction of latent health states from multiple data sources with application to active surveillance of prostate cancer (English)
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    21 July 2017
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    latent class analysis
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    missing data
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    precision medicine
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    prostate cancer prognosis
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    risk classification
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