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Empirical Bayes and semi-Bayes adjustments for a vast number of estimations.

Strömberg, Ulf LU (2009) In European Journal of Epidemiology 24. p.737-741
Abstract
Investigators in modern molecular/genetic epidemiology studies commonly analyze data on a vast number of candidate genetic markers. In such situations, rather than conventional estimation of effects (odds ratios), more accurate estimation methods are needed. The author proposes consideration of empirical Bayes and semi-Bayes methods, which yield 'adjustments for multiple estimations' by shrinking conventional effect estimates towards the overall average effect.
Please use this url to cite or link to this publication:
author
organization
publishing date
type
Contribution to journal
publication status
published
subject
in
European Journal of Epidemiology
volume
24
pages
737 - 741
publisher
Springer
external identifiers
  • wos:000272615500005
  • pmid:19813100
  • scopus:73449086937
  • pmid:19813100
ISSN
1573-7284
DOI
10.1007/s10654-009-9393-0
language
English
LU publication?
yes
id
3dc1b5e6-9013-44ff-bd39-1f8ea7a55556 (old id 1500482)
alternative location
http://www.ncbi.nlm.nih.gov/pubmed/19813100?dopt=Abstract
date added to LUP
2016-04-04 07:45:51
date last changed
2025-04-04 15:06:03
@article{3dc1b5e6-9013-44ff-bd39-1f8ea7a55556,
  abstract     = {{Investigators in modern molecular/genetic epidemiology studies commonly analyze data on a vast number of candidate genetic markers. In such situations, rather than conventional estimation of effects (odds ratios), more accurate estimation methods are needed. The author proposes consideration of empirical Bayes and semi-Bayes methods, which yield 'adjustments for multiple estimations' by shrinking conventional effect estimates towards the overall average effect.}},
  author       = {{Strömberg, Ulf}},
  issn         = {{1573-7284}},
  language     = {{eng}},
  pages        = {{737--741}},
  publisher    = {{Springer}},
  series       = {{European Journal of Epidemiology}},
  title        = {{Empirical Bayes and semi-Bayes adjustments for a vast number of estimations.}},
  url          = {{http://dx.doi.org/10.1007/s10654-009-9393-0}},
  doi          = {{10.1007/s10654-009-9393-0}},
  volume       = {{24}},
  year         = {{2009}},
}