Applicability of clinical prediction models in acute myocardial infarction: A comparison of traditional and empirical Bayes adjustment methods

Ewout Steyerberg; Rene Eijkemans; Eric Boersma; Dik Habbema

doi:10.1016/j.ahj.2005.07.008

Applicability of clinical prediction models in acute myocardial infarction: A comparison of traditional and empirical Bayes adjustment methods

Ewout Steyerberg, Rene Eijkemans, Eric Boersma, Dik Habbema

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

13 Citations (Scopus)

Original language	Undefined/Unknown
Journal	American Heart Journal
Volume	150
Issue number	5
DOIs	https://doi.org/10.1016/j.ahj.2005.07.008
Publication status	Published - 2005

Research programs

EMC NIHES-02-65-01

Access to Document

10.1016/j.ahj.2005.07.008

http://hdl.handle.net/1765/60291

Cite this

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title = "Applicability of clinical prediction models in acute myocardial infarction: A comparison of traditional and empirical Bayes adjustment methods",

author = "Ewout Steyerberg and Rene Eijkemans and Eric Boersma and Dik Habbema",

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language = "Undefined/Unknown",

volume = "150",

journal = "American Heart Journal",

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TY - JOUR

T1 - Applicability of clinical prediction models in acute myocardial infarction: A comparison of traditional and empirical Bayes adjustment methods

AU - Steyerberg, Ewout

AU - Eijkemans, Rene

AU - Boersma, Eric

AU - Habbema, Dik

PY - 2005

Y1 - 2005

U2 - 10.1016/j.ahj.2005.07.008

DO - 10.1016/j.ahj.2005.07.008

M3 - Article

C2 - 16290963

SN - 0002-8703

VL - 150

JO - American Heart Journal

JF - American Heart Journal

IS - 5

ER -