(Q36984256)

17 August 2017

1 reference

title

Database size and power to detect safety signals in pharmacovigilance (English)

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17 August 2017

Isaac W Hammond

1

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17 August 2017

Trevor G Gibbs

series ordinal

2

1 reference

17 August 2017

Harry A Seifert

series ordinal

3

1 reference

17 August 2017

Donna S Rich

series ordinal

4

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17 August 2017

language of work or name

English

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publication date

1 November 2007

1 reference

Expert Opinion on Drug Safety

17 August 2017

published in

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17 August 2017

volume

6

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17 August 2017

issue

6

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17 August 2017

page(s)

713-721

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Use of screening algorithms and computer systems to efficiently signal higher-than-expected combinations of drugs and events in the US FDA's spontaneous reports database

17 August 2017

cites work

1 reference

https://api.crossref.org/works/10.1517%2F14740338.6.6.713

Postmarketing surveillance of potentially fatal reactions to oncology drugs: potential utility of two signal-detection algorithms

21 January 2018

1 reference

https://api.crossref.org/works/10.1517%2F14740338.6.6.713

Disproportionality analysis using empirical Bayes data mining: a tool for the evaluation of drug interactions in the post‐marketing setting

21 January 2018

1 reference

https://api.crossref.org/works/10.1517%2F14740338.6.6.713

A data mining approach for signal detection and analysis

21 January 2018

1 reference

https://api.crossref.org/works/10.1517%2F14740338.6.6.713

Data-mining analyses of pharmacovigilance signals in relation to relevant comparison drugs

21 January 2018

1 reference

https://api.crossref.org/works/10.1517%2F14740338.6.6.713

A retrospective evaluation of a data mining approach to aid finding new adverse drug reaction signals in the WHO international database

21 January 2018

1 reference

https://api.crossref.org/works/10.1517%2F14740338.6.6.713

A Bayesian neural network method for adverse drug reaction signal generation.

21 January 2018

1 reference

https://api.crossref.org/works/10.1517%2F14740338.6.6.713

Benzodiazepines and injury: a risk adjusted model.

21 January 2018

1 reference

https://api.crossref.org/works/10.1517%2F14740338.6.6.713

Comparison of data mining methodologies using Japanese spontaneous reports

21 January 2018

1 reference

https://api.crossref.org/works/10.1517%2F14740338.6.6.713

21 January 2018

Identifiers

DOI

10.1517/14740338.6.6.713

1 reference

17 August 2017

1 reference