Bayesian meta-analysis on medical devices: application to implantable cardioverter defibrillators

Ji-Hee Youn; Joanne Lord; Karla Hemming; Alan Girling; Martin Buxton

doi:10.1017/S0266462312000037

Bayesian meta-analysis on medical devices: application to implantable cardioverter defibrillators

Ji-Hee Youn, Joanne Lord, Karla Hemming, Alan Girling, Martin Buxton

Research output: Contribution to journal › Article › peer-review

5 Citations (Scopus)

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Abstract

The aim of this study is to describe and illustrate a method to obtain early estimates of the effectiveness of a new version of a medical device.

Original language	English
Pages (from-to)	115-24
Number of pages	10
Journal	International Journal of Technology Assessment in Health Care
Volume	28
Issue number	2
DOIs	https://doi.org/10.1017/S0266462312000037
Publication status	Published - 2012

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10.1017/S0266462312000037

Girling2012_S0266462312000037a
Eligibility for repository: checked July 2014
Final published version, 301 KBLicence: Creative Commons: Attribution-NonCommercial-ShareAlike (CC BY-NC-SA)

Cite this

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title = "Bayesian meta-analysis on medical devices: application to implantable cardioverter defibrillators",

abstract = "The aim of this study is to describe and illustrate a method to obtain early estimates of the effectiveness of a new version of a medical device.",

author = "Ji-Hee Youn and Joanne Lord and Karla Hemming and Alan Girling and Martin Buxton",

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AU - Lord, Joanne

AU - Hemming, Karla

AU - Girling, Alan

AU - Buxton, Martin

PY - 2012

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N2 - The aim of this study is to describe and illustrate a method to obtain early estimates of the effectiveness of a new version of a medical device.

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DO - 10.1017/S0266462312000037

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VL - 28

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EP - 124

JO - International Journal of Technology Assessment in Health Care

JF - International Journal of Technology Assessment in Health Care

IS - 2

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Bayesian meta-analysis on medical devices: application to implantable cardioverter defibrillators

Abstract

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