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ZENODO
Software . 2018
License: CC BY
Data sources: Datacite
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ZENODO
Software . 2018
License: CC BY
Data sources: Datacite
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ZENODO
Software . 2017
Data sources: Datacite
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Claim

DrugPrep (STATA) : An algorithm to transform raw CPRD prescriptions data into formatted analysis-ready drug exposure data.

integration_instructionsResearch softwarekeyboard_double_arrow_right Software 31 Mar 2017Publisher:Zenodo
Authors: Lunt, Mark; Pye, Stephen; Movahedi, Mohammad; Costello, Ruth;

doi: 10.5281/zenodo.1313712 , 10.5281/zenodo.439537 , 10.5281/zenodo.793774

DrugPrep (STATA) : An algorithm to transform raw CPRD prescriptions data into formatted analysis-ready drug exposure data.

Abstract

Funding: Supported by the Arthritis Research UK Centre for Epidemiology (grant 20380) Contributions: Mark Lunt (design & implemention of code), Stephen Pye (design & implementation of code) Mohammad Movahedi (design and implementation of code), Ruth Costello (bug fixes), Rebecca Joseph (data curation), Kamilla Kopec-Harding (data curation), William G Dixon (principal investigator/conceptualisation/funding)

DrugPrep is an algorithm for transforming raw medications data into formatted, analysis-ready drug exposure data. The current version of DrugPrep archived here has been developed for use with Clinical Practice Research datalink (CPRD) and is implemented in STATA.

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Keywords

Data preparation, Prescriptions, Clinical Practice Research Data Link, Drug exposure, CPRD

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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