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Bayesian semiparametric analysis of semicompeting risks data: investigating hospital readmission aft...

Bayesian semiparametric analysis of semicompeting risks data: investigating hospital readmission aft...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_miscellaneous_1660044782

Bayesian semiparametric analysis of semicompeting risks data: investigating hospital readmission after a pancreatic cancer diagnosis

About this item

Full title

Bayesian semiparametric analysis of semicompeting risks data: investigating hospital readmission after a pancreatic cancer diagnosis

Publisher

Oxford: Blackwell Publishing Ltd

Journal title

Journal of the Royal Statistical Society, 2015-02, Vol.64 (2), p.253-273

Language

English

Formats

Publication information

Publisher

Oxford: Blackwell Publishing Ltd

More information

Scope and Contents

Contents

In the USA, the Centers for Medicare and Medicaid Services use 30-day readmission, following hospitalization, as a proxy outcome to monitor quality of care. These efforts generally focus on treatable health conditions, such as pneumonia and heart failure. Expanding quality-of-care systems to monitor conditions for which treatment options are limite...

Alternative Titles

Full title

Bayesian semiparametric analysis of semicompeting risks data: investigating hospital readmission after a pancreatic cancer diagnosis

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_miscellaneous_1660044782

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_miscellaneous_1660044782

Other Identifiers

ISSN

0035-9254

E-ISSN

1467-9876

DOI

10.1111/rssc.12078

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